US20140236464A1 - Crowd sourced traffic reporting - Google Patents
Crowd sourced traffic reporting Download PDFInfo
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- US20140236464A1 US20140236464A1 US14/265,290 US201414265290A US2014236464A1 US 20140236464 A1 US20140236464 A1 US 20140236464A1 US 201414265290 A US201414265290 A US 201414265290A US 2014236464 A1 US2014236464 A1 US 2014236464A1
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- traffic
- crowd sourced
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- travel route
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
- G08G1/096716—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information does not generate an automatic action on the vehicle control
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096733—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
- G08G1/096741—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where the source of the transmitted information selects which information to transmit to each vehicle
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096775—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a central station
Definitions
- the present invention generally concerns traffic reporting. More particularly, the present invention relates to the use of crowd sourced data and other sources of traffic data to provide traffic reports, maps, and forecasts.
- Embodiments of the present invention allow for the generation of more reliable and accurate traffic reports, maps, and forecasts based on various data types and sources.
- Data sources include public sector sources, private entities, and end users providing crowd sourced data.
- a method for traffic reporting using crowd sourced data is claimed. Through this method crowd sourced data from a computing device associated with a user traversing a travel route is received.
- the crowd sourced data may include location data and speed data associated with the user.
- the crowd sourced data is then verified for timeliness.
- a traffic report is generated based on the crowd sourced data and is then displayed on the computing device.
- a system for generating a traffic report based on crowd sourced data includes memory for storing crowd sourced data received from a computing device associated with a user traversing a travel route.
- the system also includes an application server. The application server verifies the timeliness of the crowd sourced data, generates a traffic report based on the crowd sourced data, and displays the traffic report on the computing device.
- a non-transitory computer-readable medium includes a computer program that is executable by a processor to perform a method for generating a traffic report.
- the method includes receiving crowd sourced data from a user traversing a travel route, the crowd sourced data including location data and speed data associated with the user, verifying timeliness of the crowd sourced data, generating a traffic report based on the crowd sourced data, and displaying the traffic report.
- FIG. 1 illustrates a system used for generating a traffic report using crowd sourced data.
- FIG. 2 illustrates a method for traffic reporting using crowd sourced data.
- FIG. 3 illustrates a computing system that may be used to implement an embodiment of the present invention.
- Embodiments of the present invention may provide a traffic reporting service that uses crowd sourced data to generate more accurate and complete traffic reports.
- FIG. 1 illustrates a system that may be a system used for generating a traffic report using crowd sourced data.
- the system 100 of FIG. 1 includes user 110 , computing device 120 , information source 130 , network 140 , optional network server 150 , application server 160 , and database 170 .
- System 100 may include a number of users and computing devices that operate in conjunction with a traffic reporting service.
- User 110 may subscribe (e.g., create an account) or register with the traffic reporting service provided by application server 160 via computing device 120 .
- user 110 may perform a login operation (i.e., access account) and may access the traffic reporting service to receive traffic reports, forecasts, and maps, and alerts of traffic incidents and delays.
- User 110 may also create travel routes and obtain personalized traffic reports for the same.
- User 110 may also request access to and view live or historic feeds from particular traffic cameras.
- user 110 When registering with the traffic reporting service, user 110 may be required to input or provide (via computing device 120 ) registration information or user data including but not limited to name, user ID, password address, phone number, e-mail address, birthday, age, and gender. User 110 may also provide other data (e.g., start and end points) relating to one or more traffic routes. User 110 may then receive personalized traffic reports for frequently traversed routes such as home to office, office to home, home to school, etc.
- registration information or user data including but not limited to name, user ID, password address, phone number, e-mail address, birthday, age, and gender.
- User 110 may also provide other data (e.g., start and end points) relating to one or more traffic routes. User 110 may then receive personalized traffic reports for frequently traversed routes such as home to office, office to home, home to school, etc.
- User 110 may also provide preferences such as a preference for a type of traffic information. For example, user 110 may indicate a preference to receive an alert of traffic incidents or delays that may appear on a frequently traversed route, a selected route, or current route. A user preference may also include a preference for or bookmark for a particular traffic camera or latest snapshot or video from a traffic camera.
- User registration information, user preferences, and route information may be used to generate a profile of user 110 which may be used to customize traffic reports and alerts for user 110 .
- user 110 may indicate a desire to receive a traffic alert concerning a particular travel route, geographical location, or specific road or highway.
- User route data and profile information may be stored in database 170 .
- System 100 may include database 170 for storing data.
- Database 170 may store route information, profile information, traffic data from information sources 130 , and other data for use with the traffic reporting service provided by application server 160 .
- Database 170 may be separate from or integrated with application server 160 .
- Database 170 may be a single database server or distributed amongst a series of servers.
- Database 170 may also store any updates to user data, route information, or traffic data received from/provided by user 110 or information sources 130 .
- the information sources 130 may be provided by various organizations (public or private entities) and in a variety of forms.
- the information sources 130 may include data sources related to traffic data (e.g., traffic speed, traffic flow) and as described in U.S. Pat. No. 7,221,287, which is incorporated herein by reference, or weather data such as forecasts.
- the information sources 130 may also include data sources related to newsworthy events or incidents such as school closings, election results, and other information that may be featured or relevant in a traffic report.
- the information sources 130 may require subscription or authentication for access and may be accessible via Telnet, FTP, or web services protocols.
- the information may be received from the information sources 130 in real-time or near real-time to allow for generation of an equally real-time or near real-time presentation.
- Information sources 130 may also include local memory storing previously received data or an antenna receiver in the likes of a GPS device that is actively or occasionally receiving data from a still separate source of data.
- the information sources 130 may include one or more of the 511.org system (a collaboration of public agencies including the California Highway Patrol, Metropolitan Transportation Commission, and CAL TRANS), the California Highway Patrol (CHP) World Wide Web server, the PeMS system at the University of California at Berkeley, various public event listings, or a publicly or privately accessible user input mechanism.
- the information sources 130 may include the National Weather Service among other weather information sources.
- Other data sources or alternative types of data sources e.g., non-traffic and non-weather related sources may be incorporated and utilized in various embodiments of the present invention.
- Computing device 120 is inclusive of a general purpose computing device capable of accessing information over a network.
- Computing device 120 may be any computing device known in the art such as a workstation, laptop computer, net book computer, tablet computer, mobile device, cellular telephone, or the like that can communicate over network 140 .
- Computing device 120 may include software and/or hardware capable of sending, receiving, and processing data such as crowd sourced data, traffic data, or user profile data.
- Computing device 120 may receive data from user 110 and send the data over network 140 to application server 160 for processing.
- Computing device 120 may also offer location-based information such as that generated through cellular network base stations, IP network access, or GPS data.
- Computing device 120 may include certain components as illustrated in FIG. 3 .
- Network 140 is inclusive of any communication known in the art such as the Internet, Local Area Network (LAN), Wide Area Network (WAN), intranet, extranet, private network, or other network.
- Application server 160 may be accessed via optional network server 150 .
- Network server 150 may receive and process data and/or requests from computing device 120 .
- user 110 may request and provide data to become a registered subscriber with the traffic reporting service provided by application server 160 .
- Processing the data and/or request may include sending data to application server 160 , receiving a response from application server 160 , and sending a response or data to network server 150 .
- Network server 150 may then forward the response or data to computing device 120 .
- Application server 160 may be implemented in a general computing device that otherwise communicates with database 170 and network server 150 .
- An example of such a device is the general computing system illustrated in FIG. 3 .
- One or more software applications or modules may be stored in memory and executable by a processor (not shown) at application server 160 .
- the present traffic reporting service may be implemented by one or more processors that execute instructions stored in one or more memory mediums. The executed instructions may result in the processor(s) generating and providing one or more graphical interfaces.
- FIG. 2 illustrates a method for traffic reporting using crowd sourced data.
- the steps identified in FIG. 2 are exemplary and may include various alternatives, equivalents, or derivations thereof including but not limited to the order of execution of the same.
- the steps of the method of FIG. 2 may be embodied in hardware or software including a non-transitory computer-readable storage medium (e.g., an optical disc or memory card) having instructions executable by a processor of a computing device.
- a user may launch or activate the method of FIG. 2 by opening or activating an application in a computing device such as a mobile device.
- crowd sourced data is received at application server 160 from a computing device associated with a user.
- a user may authorize the collection of crowd sourced data via a mobile based computing device 120 or one that otherwise generates location based data (e.g., GPS, base station identification, triangulation data, etc.).
- Computing device 120 may receive user authorization and transmit collected crowd sourced data to application server 160 for processing by way of a user 110 offering certain permissions on the device 120 .
- Crowd sourced data may be an indicator of traffic conditions when it includes traffic data about a non-sensored thoroughfare or roadway that is not available by another means.
- Crowd sourced data may include data collected by active means as well as passive means.
- Passive crowd sourced data may include, for example, non-personally identifiable data such as location information, geographic coordinate data (e.g., latitude/longitude), timestamp data, heading information, and floating car data, which is sometimes referred to as floating cellular data.
- Location may be determined by any positioning technology known in the art such as global navigation satellite systems (e.g., GPS or GNSS), real-time locating systems, or local positioning systems.
- Floating car data may include speed data, direction of travel information, time information, or other information received from a computing device (e.g., mobile phone). Information may also include electronic toll collection data and number plate recognition information.
- Active data may include data actively provided by a user such as incident data concerning a traffic event or delay.
- a user may transmit traffic information (i.e., incident report/incident data) to application server 160 .
- An incident report/incident data may include location information, time of occurrence, end time, or highway and milepost information for any type of incident such as an accident, road hazard, road work, street or highway closure, or any other condition potentially affecting traffic.
- An incident may be planned (e.g., road work) or unplanned. Unplanned incidents may include crashes with or without injuries, overturned vehicles, disabled vehicles, or roadway obstructions (e.g., by pedestrians, animals, debris).
- Traffic data from information sources 130 may also be received at application server 160 .
- Traffic data from information sources may come from public agencies (e.g., U.S. Department of Transportation, local police departments) or private entities (e.g., Inrix, TrafficCast, Clear Channel).
- Traffic data may include incident data, speed information, flow information, or information from traffic cameras or videos.
- Speed and flow information may be obtained from various kinds of detector equipment along highways or roadways such as loop detectors and other magnetic sensors, radar detectors, toll tag readers, Bluetooth traffic monitoring devices, or video vehicle detectors.
- Data from traffic cameras and video cameras may be obtained from roadside cameras, in-vehicle cameras, or the like, and may capture live videos, snapshots, and images of actual driving conditions. In addition to providing a glimpse of real-time traffic conditions, these cameras may also show the effects of weather on traffic.
- the received crowd sourced data is verified for timeliness to optimize latency and ensure the relevance of the data.
- the most recent, up-to-date crowd sourced data is desired. For example, crowd sourced data that is 4 hours old may no longer affect traffic and be irrelevant.
- Application server 160 may process the crowd sourced data and share the crowd sourced data with other users in the network.
- the received crowd sourced data may include location information and speed information. Location data may be collected from computing device 120 and application server 160 may determine a sampling interval t.sub.s and a transmission interval t.sub.t associated with each piece of crowd source data. t.sub.s is the time between samples while t.sub.t is the time between transmission of the samples.
- the sampling and transmission intervals t.sub.s and t.sub.t may be set ahead of time, or may vary based on the time of day, the observed speed of the computing device 120 over a recent time interval, or the available battery life of the computing device 120 to avoid inadvertently over utilizing low battery power.
- the application server 160 may send instructions to the computing device 120 to alter t.sub.s and t.sub.t depending upon various needs. Adjusting t.sub.s and t.sub.t allows a trade-off between the quality of the resulting data (frequency, timeliness) and the resources expanded in terms of battery usage to collect more frequent samples on the computing device 120 , and the transmission costs involved in transmitting information at more frequent intervals.
- the horizontal accuracy of the position information may also be transmitted together with the location coordinates. If the horizontal accuracy is not readily available, it may be substituted with a default value. The position and its accuracy may then be compared with proximate road segments to determine which road segment the computing device 120 is most likely to be traveling on. If the heading or the most recent position information is available, the direction of travel may be compared with the direction of road segments. Recent positions of the computing device 120 are likely to be situated on the same or adjoining road segments, and presumably in the same direction of travel. Such reasonable tests may be used to determine if particular positions represent erroneous data and need to be filtered out.
- crowd sourced data e.g., GPS location and speed data
- application server 160 generates a traffic report based on the crowd sourced data.
- application server 160 generates the traffic report based on traffic data received from information sources 130 in addition to crowd source data.
- the traffic data from the information sources 130 may include real-time speed data, flow information, forecasted or historical data, or other pertinent traffic information for a travel route specified by user 110 , such as a frequently traveled route or current route.
- a generated traffic report may also be based on other relevant information such as weather information or forecasts, or newsworthy events such as concerts, sporting events, street closures, or protests.
- a generated traffic report may include point-to-point trip times, trip time predictions for a travel route, and recommended departure times for various times and days of the week.
- Application server 160 may calculate point-to-point trip times based on starting and end points provided by user 110 . When calculating point-to-point trip times, a starting point may be the real-time location of computing device 120 .
- Application server 160 may also calculate or predict trip times for a particular travel route based on crowd sourced data, traffic data from information sources 130 , or combinations of the same.
- application server 160 may further calculate and recommend a departure time for timely traversing a route when user 110 has indicated a desired arrival time.
- application server 160 may also calculate and recommend departure times for different days or times of the week based on historical or forecasted traffic information received from information sources 130 .
- a generated traffic report that is displayed at step 240 may convey a variety of traffic information in different forms or formats.
- a traffic report may be textual or graphical or include combinations of the same.
- a traffic report for example, may be generated and displayed in the form of a map of particular area and may include textual and/or graphical information about traffic conditions, incidents, or hazards along a travel route.
- a traffic report may also be generated and displayed in a textual/list format showing, for example, frequently traveled routes, the predicted travel time or recommended departure time for each route, and any notable traffic conditions or incidents affecting the route.
- Travel times or departure times for a particular route may be also be displayed in graphical form with time of day on the x-axis plotted against travel time in minutes on the y-axis.
- User 110 may use the various information presented in the traffic report to make an informed decision about which travel route to take and/or the best departure time to reach a destination.
- the report may be three-dimensional, include areas for advertising, or be subject to multiple points of view that can be rotated through touch screen controls or multi-finger touch/pinch control.
- Application server 160 may also generate a traffic alert. Where user 110 has indicated a preference to receive a traffic alert for a particular travel route or geographical location, application server may generate a traffic alert based on received crowd sourced data and/or traffic data received from information sources 130 . Application server 160 may transmit a traffic alert (e.g., via Short message service (SMS) message, e-mail message, or the like) to computing device 120 .
- SMS Short message service
- FIG. 3 illustrates a computing system 300 that may be used to implement the present technology.
- System 300 of FIG. 3 may be used to implement computing device 120 , network server 150 , application server 160 , and database 170 in the context of the system of FIG. 1 .
- the computing system 300 of FIG. 3 includes one or more processors 310 and memory 320 .
- Main memory 320 stores, in part, instructions and data for execution by processor 310 .
- Main memory 320 can store the executable code when in operation.
- Main memory 320 may also include a database such as database 170 illustrated in FIG. 1 .
- the system 300 of FIG. 3 further includes a mass storage device 330 , portable storage medium drive(s) 340 , output devices 350 , user input devices 360 , a graphics display 370 , and peripheral devices 380 .
- processor unit 310 and main memory 320 may be connected via a local microprocessor bus, and the mass storage device 330 , peripheral device(s) 380 , portable storage device 340 , and display system 370 may be connected via one or more input/output (I/O) buses.
- I/O input/output
- Mass storage device 330 which may be implemented with a magnetic disk drive or an optical disk drive, is a non-volatile storage device for storing data and instructions for use by processor unit 310 . Mass storage device 330 may store the system software for implementing embodiments of the present invention for purposes of loading software into main memory 320 .
- Portable storage device 340 operates in conjunction with a portable nonvolatile storage medium, such as a floppy disk, compact disk or Digital video disc, to input and output data and code to and from the computer system 300 of FIG. 3 .
- the system software for implementing embodiments of the present invention may be stored on such a portable medium and input to the computer system 300 via the portable storage device 340 .
- Input devices 360 provide a portion of a user interface.
- Input devices 360 may include an alpha-numeric keypad, such as a keyboard, for inputting alpha-numeric and other information, or a pointing device, such as a mouse, a trackball, stylus, or cursor direction keys.
- the system 300 as shown in FIG. 3 includes output devices 350 . Examples of suitable output devices include speakers, printers, network interfaces, and monitors.
- Display system 370 may include a liquid crystal display (LCD) or other suitable display device. Display system 370 may receive textual and graphical information, and process the information for output to the display device.
- LCD liquid crystal display
- Peripherals 380 may include any type of computer support device to add additional functionality to the computer system.
- peripheral device(s) 380 may include a modem or a router.
- the components contained in the computing system 300 of FIG. 3 are those typically found in computer systems that may be suitable for use with embodiments of the present invention and are intended to represent a broad category of such computer components that are well known in the art.
- the computing system 300 of FIG. 3 may be a personal computer, hand held computing device, telephone, mobile computing device, workstation, server, minicomputer, mainframe computer, or any other computing device.
- the computer may also include different bus configurations, networked platforms, multi-processor platforms, etc.
- Various operating systems may be used including Unix, Linux, Windows Mobile, iOS, or Android.
- the steps of the method of FIG. 2 (and its various alternatives) may be performed by a module or engine stored on a computer readable storage medium (e.g., optical disc, memory card, etc.) comprising instructions executable by a processor of a computing device.
- a computer readable storage medium e.g., optical disc, memory card, etc.
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Abstract
Description
- The present application is a continuation and claims the priority benefit of U.S. patent application Ser. No. 13/296,108 filed Nov. 14, 2011, which will issue as U.S. Pat. No. 8,718,910 on May 6, 2014, which claims the priority benefit of U.S. provisional application 61/413,473 filed Nov. 14, 2010 and U.S. provisional application 61/487,425 filed May 18, 2011, the disclosures of which are incorporated herein by reference.
- 1. Field of the Invention
- The present invention generally concerns traffic reporting. More particularly, the present invention relates to the use of crowd sourced data and other sources of traffic data to provide traffic reports, maps, and forecasts.
- 2. Description of the Related Art
- The rapid worldwide growth in mobile phone traffic has corresponded to a rapid increase in smartphone use. Smartphones are expected to overtake the number of feature phones by the end of 2011. With a smartphone, a consumer may utilize an assortment of applications to obtain a variety of useful real-time information including traffic information.
- Current traffic reporting applications rely on traditional traffic sources such as public sector and private entity sources. These applications typically do not consider crowd sourced data that can provide updated or real-time traffic data not otherwise available from traditional sources. One mobile application, called “Waze” (available from Waze Ltd.), automatically collects traffic data and road condition information from users as they drive. “Waze” relies primarily on crowd sourced data to present updated traffic information to users of the application. “Waze,” however, does not consider traditional traffic sources when presenting traffic information to its users.
- There is a need in the art for traffic reporting technology that leverages a variety of traffic data, including crowd sourced data, to generate more accurate and reliable traffic reports, maps, and forecasts.
- Embodiments of the present invention allow for the generation of more reliable and accurate traffic reports, maps, and forecasts based on various data types and sources. Data sources include public sector sources, private entities, and end users providing crowd sourced data.
- In a first claimed embodiment, a method for traffic reporting using crowd sourced data is claimed. Through this method crowd sourced data from a computing device associated with a user traversing a travel route is received. The crowd sourced data may include location data and speed data associated with the user. The crowd sourced data is then verified for timeliness. A traffic report is generated based on the crowd sourced data and is then displayed on the computing device.
- In a second claimed embodiment, a system for generating a traffic report based on crowd sourced data is claimed. The system includes memory for storing crowd sourced data received from a computing device associated with a user traversing a travel route. The system also includes an application server. The application server verifies the timeliness of the crowd sourced data, generates a traffic report based on the crowd sourced data, and displays the traffic report on the computing device.
- In a third claimed embodiment, a non-transitory computer-readable medium is claimed. The storage medium includes a computer program that is executable by a processor to perform a method for generating a traffic report. The method includes receiving crowd sourced data from a user traversing a travel route, the crowd sourced data including location data and speed data associated with the user, verifying timeliness of the crowd sourced data, generating a traffic report based on the crowd sourced data, and displaying the traffic report.
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FIG. 1 illustrates a system used for generating a traffic report using crowd sourced data. -
FIG. 2 illustrates a method for traffic reporting using crowd sourced data. -
FIG. 3 illustrates a computing system that may be used to implement an embodiment of the present invention. - Embodiments of the present invention may provide a traffic reporting service that uses crowd sourced data to generate more accurate and complete traffic reports.
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FIG. 1 illustrates a system that may be a system used for generating a traffic report using crowd sourced data. Thesystem 100 ofFIG. 1 includesuser 110,computing device 120,information source 130,network 140,optional network server 150,application server 160, anddatabase 170. -
System 100 may include a number of users and computing devices that operate in conjunction with a traffic reporting service.User 110 may subscribe (e.g., create an account) or register with the traffic reporting service provided byapplication server 160 viacomputing device 120. Onceuser 110 has registered with the traffic reporting service,user 110 may perform a login operation (i.e., access account) and may access the traffic reporting service to receive traffic reports, forecasts, and maps, and alerts of traffic incidents and delays.User 110 may also create travel routes and obtain personalized traffic reports for the same.User 110 may also request access to and view live or historic feeds from particular traffic cameras. - When registering with the traffic reporting service,
user 110 may be required to input or provide (via computing device 120) registration information or user data including but not limited to name, user ID, password address, phone number, e-mail address, birthday, age, and gender.User 110 may also provide other data (e.g., start and end points) relating to one or more traffic routes.User 110 may then receive personalized traffic reports for frequently traversed routes such as home to office, office to home, home to school, etc. -
User 110 may also provide preferences such as a preference for a type of traffic information. For example,user 110 may indicate a preference to receive an alert of traffic incidents or delays that may appear on a frequently traversed route, a selected route, or current route. A user preference may also include a preference for or bookmark for a particular traffic camera or latest snapshot or video from a traffic camera. - User registration information, user preferences, and route information may be used to generate a profile of
user 110 which may be used to customize traffic reports and alerts foruser 110. For example,user 110 may indicate a desire to receive a traffic alert concerning a particular travel route, geographical location, or specific road or highway. User route data and profile information may be stored indatabase 170. -
System 100 may includedatabase 170 for storing data.Database 170 may store route information, profile information, traffic data frominformation sources 130, and other data for use with the traffic reporting service provided byapplication server 160.Database 170 may be separate from or integrated withapplication server 160.Database 170 may be a single database server or distributed amongst a series of servers.Database 170 may also store any updates to user data, route information, or traffic data received from/provided byuser 110 orinformation sources 130. - The
information sources 130 may be provided by various organizations (public or private entities) and in a variety of forms. Theinformation sources 130 may include data sources related to traffic data (e.g., traffic speed, traffic flow) and as described in U.S. Pat. No. 7,221,287, which is incorporated herein by reference, or weather data such as forecasts. The information sources 130 may also include data sources related to newsworthy events or incidents such as school closings, election results, and other information that may be featured or relevant in a traffic report. The information sources 130 may require subscription or authentication for access and may be accessible via Telnet, FTP, or web services protocols. The information may be received from theinformation sources 130 in real-time or near real-time to allow for generation of an equally real-time or near real-time presentation.Information sources 130 may also include local memory storing previously received data or an antenna receiver in the likes of a GPS device that is actively or occasionally receiving data from a still separate source of data. - In an embodiment of the present invention utilizing traffic data specific to the San Francisco Bay area, for example, the
information sources 130 may include one or more of the 511.org system (a collaboration of public agencies including the California Highway Patrol, Metropolitan Transportation Commission, and CAL TRANS), the California Highway Patrol (CHP) World Wide Web server, the PeMS system at the University of California at Berkeley, various public event listings, or a publicly or privately accessible user input mechanism. For weather data, theinformation sources 130 may include the National Weather Service among other weather information sources. Other data sources or alternative types of data sources (e.g., non-traffic and non-weather related sources) may be incorporated and utilized in various embodiments of the present invention. -
Computing device 120 is inclusive of a general purpose computing device capable of accessing information over a network.Computing device 120 may be any computing device known in the art such as a workstation, laptop computer, net book computer, tablet computer, mobile device, cellular telephone, or the like that can communicate overnetwork 140.Computing device 120 may include software and/or hardware capable of sending, receiving, and processing data such as crowd sourced data, traffic data, or user profile data.Computing device 120 may receive data fromuser 110 and send the data overnetwork 140 toapplication server 160 for processing.Computing device 120 may also offer location-based information such as that generated through cellular network base stations, IP network access, or GPS data.Computing device 120 may include certain components as illustrated inFIG. 3 . -
Network 140 is inclusive of any communication known in the art such as the Internet, Local Area Network (LAN), Wide Area Network (WAN), intranet, extranet, private network, or other network.Application server 160 may be accessed viaoptional network server 150.Network server 150 may receive and process data and/or requests fromcomputing device 120. For example,user 110 may request and provide data to become a registered subscriber with the traffic reporting service provided byapplication server 160. Processing the data and/or request may include sending data toapplication server 160, receiving a response fromapplication server 160, and sending a response or data to networkserver 150.Network server 150 may then forward the response or data tocomputing device 120. -
Application server 160 may be implemented in a general computing device that otherwise communicates withdatabase 170 andnetwork server 150. An example of such a device is the general computing system illustrated inFIG. 3 . One or more software applications or modules may be stored in memory and executable by a processor (not shown) atapplication server 160. The present traffic reporting service may be implemented by one or more processors that execute instructions stored in one or more memory mediums. The executed instructions may result in the processor(s) generating and providing one or more graphical interfaces. -
FIG. 2 illustrates a method for traffic reporting using crowd sourced data. The steps identified inFIG. 2 (and the order thereof) are exemplary and may include various alternatives, equivalents, or derivations thereof including but not limited to the order of execution of the same. The steps of the method ofFIG. 2 (and its various alternatives) may be embodied in hardware or software including a non-transitory computer-readable storage medium (e.g., an optical disc or memory card) having instructions executable by a processor of a computing device. A user may launch or activate the method ofFIG. 2 by opening or activating an application in a computing device such as a mobile device. - At step 210, crowd sourced data is received at
application server 160 from a computing device associated with a user. A user may authorize the collection of crowd sourced data via a mobile basedcomputing device 120 or one that otherwise generates location based data (e.g., GPS, base station identification, triangulation data, etc.).Computing device 120 may receive user authorization and transmit collected crowd sourced data toapplication server 160 for processing by way of auser 110 offering certain permissions on thedevice 120. - Crowd sourced data may be an indicator of traffic conditions when it includes traffic data about a non-sensored thoroughfare or roadway that is not available by another means. Crowd sourced data may include data collected by active means as well as passive means. Passive crowd sourced data may include, for example, non-personally identifiable data such as location information, geographic coordinate data (e.g., latitude/longitude), timestamp data, heading information, and floating car data, which is sometimes referred to as floating cellular data. Location may be determined by any positioning technology known in the art such as global navigation satellite systems (e.g., GPS or GNSS), real-time locating systems, or local positioning systems. Floating car data may include speed data, direction of travel information, time information, or other information received from a computing device (e.g., mobile phone). Information may also include electronic toll collection data and number plate recognition information.
- Active data may include data actively provided by a user such as incident data concerning a traffic event or delay. A user may transmit traffic information (i.e., incident report/incident data) to
application server 160. An incident report/incident data may include location information, time of occurrence, end time, or highway and milepost information for any type of incident such as an accident, road hazard, road work, street or highway closure, or any other condition potentially affecting traffic. An incident may be planned (e.g., road work) or unplanned. Unplanned incidents may include crashes with or without injuries, overturned vehicles, disabled vehicles, or roadway obstructions (e.g., by pedestrians, animals, debris). - Traffic data from
information sources 130 may also be received atapplication server 160. Traffic data from information sources may come from public agencies (e.g., U.S. Department of Transportation, local police departments) or private entities (e.g., Inrix, TrafficCast, Clear Channel). Traffic data may include incident data, speed information, flow information, or information from traffic cameras or videos. Speed and flow information may be obtained from various kinds of detector equipment along highways or roadways such as loop detectors and other magnetic sensors, radar detectors, toll tag readers, Bluetooth traffic monitoring devices, or video vehicle detectors. Data from traffic cameras and video cameras may be obtained from roadside cameras, in-vehicle cameras, or the like, and may capture live videos, snapshots, and images of actual driving conditions. In addition to providing a glimpse of real-time traffic conditions, these cameras may also show the effects of weather on traffic. - At
step 220, the received crowd sourced data is verified for timeliness to optimize latency and ensure the relevance of the data. To obtain the most accurate and complete depiction of actual traffic conditions, the most recent, up-to-date crowd sourced data is desired. For example, crowd sourced data that is 4 hours old may no longer affect traffic and be irrelevant.Application server 160 may process the crowd sourced data and share the crowd sourced data with other users in the network. The received crowd sourced data may include location information and speed information. Location data may be collected fromcomputing device 120 andapplication server 160 may determine a sampling interval t.sub.s and a transmission interval t.sub.t associated with each piece of crowd source data. t.sub.s is the time between samples while t.sub.t is the time between transmission of the samples. The sampling and transmission intervals t.sub.s and t.sub.t may be set ahead of time, or may vary based on the time of day, the observed speed of thecomputing device 120 over a recent time interval, or the available battery life of thecomputing device 120 to avoid inadvertently over utilizing low battery power. Alternately, theapplication server 160 may send instructions to thecomputing device 120 to alter t.sub.s and t.sub.t depending upon various needs. Adjusting t.sub.s and t.sub.t allows a trade-off between the quality of the resulting data (frequency, timeliness) and the resources expanded in terms of battery usage to collect more frequent samples on thecomputing device 120, and the transmission costs involved in transmitting information at more frequent intervals. - The horizontal accuracy of the position information may also be transmitted together with the location coordinates. If the horizontal accuracy is not readily available, it may be substituted with a default value. The position and its accuracy may then be compared with proximate road segments to determine which road segment the
computing device 120 is most likely to be traveling on. If the heading or the most recent position information is available, the direction of travel may be compared with the direction of road segments. Recent positions of thecomputing device 120 are likely to be situated on the same or adjoining road segments, and presumably in the same direction of travel. Such reasonable tests may be used to determine if particular positions represent erroneous data and need to be filtered out. - Compared to other sourced of data (e.g., traffic data from public and/or private entities), crowd sourced data (e.g., GPS location and speed data) may have the lowest latency since the maximum latency is bounded by t.sub.t-t.sub.s and there are no intermediaries between the
computing device 120 andapplication server 160. - At
step 230,application server 160 generates a traffic report based on the crowd sourced data. In oneembodiment application server 160 generates the traffic report based on traffic data received frominformation sources 130 in addition to crowd source data. The traffic data from theinformation sources 130 may include real-time speed data, flow information, forecasted or historical data, or other pertinent traffic information for a travel route specified byuser 110, such as a frequently traveled route or current route. Besides traffic data and crowd sourced data, a generated traffic report may also be based on other relevant information such as weather information or forecasts, or newsworthy events such as concerts, sporting events, street closures, or protests. - A generated traffic report may include point-to-point trip times, trip time predictions for a travel route, and recommended departure times for various times and days of the week.
Application server 160 may calculate point-to-point trip times based on starting and end points provided byuser 110. When calculating point-to-point trip times, a starting point may be the real-time location of computingdevice 120.Application server 160 may also calculate or predict trip times for a particular travel route based on crowd sourced data, traffic data frominformation sources 130, or combinations of the same. - Based on traffic information received from various sources (e.g., crowd sourced data and/or traffic data)
application server 160 may further calculate and recommend a departure time for timely traversing a route whenuser 110 has indicated a desired arrival time.Application server 160 may also calculate and recommend departure times for different days or times of the week based on historical or forecasted traffic information received frominformation sources 130. - At
step 240,application server 160 displays the traffic report oncomputing device 120. A generated traffic report that is displayed atstep 240 may convey a variety of traffic information in different forms or formats. A traffic report may be textual or graphical or include combinations of the same. A traffic report, for example, may be generated and displayed in the form of a map of particular area and may include textual and/or graphical information about traffic conditions, incidents, or hazards along a travel route. A traffic report may also be generated and displayed in a textual/list format showing, for example, frequently traveled routes, the predicted travel time or recommended departure time for each route, and any notable traffic conditions or incidents affecting the route. Travel times or departure times for a particular route may be also be displayed in graphical form with time of day on the x-axis plotted against travel time in minutes on the y-axis.User 110 may use the various information presented in the traffic report to make an informed decision about which travel route to take and/or the best departure time to reach a destination. The report may be three-dimensional, include areas for advertising, or be subject to multiple points of view that can be rotated through touch screen controls or multi-finger touch/pinch control. -
Application server 160 may also generate a traffic alert. Whereuser 110 has indicated a preference to receive a traffic alert for a particular travel route or geographical location, application server may generate a traffic alert based on received crowd sourced data and/or traffic data received frominformation sources 130.Application server 160 may transmit a traffic alert (e.g., via Short message service (SMS) message, e-mail message, or the like) tocomputing device 120. -
FIG. 3 illustrates acomputing system 300 that may be used to implement the present technology.System 300 ofFIG. 3 may be used to implementcomputing device 120,network server 150,application server 160, anddatabase 170 in the context of the system ofFIG. 1 . Thecomputing system 300 ofFIG. 3 includes one ormore processors 310 andmemory 320.Main memory 320 stores, in part, instructions and data for execution byprocessor 310.Main memory 320 can store the executable code when in operation.Main memory 320 may also include a database such asdatabase 170 illustrated inFIG. 1 . Thesystem 300 ofFIG. 3 further includes amass storage device 330, portable storage medium drive(s) 340,output devices 350,user input devices 360, agraphics display 370, andperipheral devices 380. - The components shown in
FIG. 3 are depicted as being connected via asingle bus 390. The components, however, may be connected through one or more data transport means. For example,processor unit 310 andmain memory 320 may be connected via a local microprocessor bus, and themass storage device 330, peripheral device(s) 380,portable storage device 340, anddisplay system 370 may be connected via one or more input/output (I/O) buses. -
Mass storage device 330, which may be implemented with a magnetic disk drive or an optical disk drive, is a non-volatile storage device for storing data and instructions for use byprocessor unit 310.Mass storage device 330 may store the system software for implementing embodiments of the present invention for purposes of loading software intomain memory 320. -
Portable storage device 340 operates in conjunction with a portable nonvolatile storage medium, such as a floppy disk, compact disk or Digital video disc, to input and output data and code to and from thecomputer system 300 ofFIG. 3 . The system software for implementing embodiments of the present invention may be stored on such a portable medium and input to thecomputer system 300 via theportable storage device 340. -
Input devices 360 provide a portion of a user interface.Input devices 360 may include an alpha-numeric keypad, such as a keyboard, for inputting alpha-numeric and other information, or a pointing device, such as a mouse, a trackball, stylus, or cursor direction keys. Additionally, thesystem 300 as shown inFIG. 3 includesoutput devices 350. Examples of suitable output devices include speakers, printers, network interfaces, and monitors. -
Display system 370 may include a liquid crystal display (LCD) or other suitable display device.Display system 370 may receive textual and graphical information, and process the information for output to the display device. -
Peripherals 380 may include any type of computer support device to add additional functionality to the computer system. For example, peripheral device(s) 380 may include a modem or a router. - The components contained in the
computing system 300 ofFIG. 3 are those typically found in computer systems that may be suitable for use with embodiments of the present invention and are intended to represent a broad category of such computer components that are well known in the art. Thus, thecomputing system 300 ofFIG. 3 may be a personal computer, hand held computing device, telephone, mobile computing device, workstation, server, minicomputer, mainframe computer, or any other computing device. The computer may also include different bus configurations, networked platforms, multi-processor platforms, etc. Various operating systems may be used including Unix, Linux, Windows Mobile, iOS, or Android. The steps of the method ofFIG. 2 (and its various alternatives) may be performed by a module or engine stored on a computer readable storage medium (e.g., optical disc, memory card, etc.) comprising instructions executable by a processor of a computing device. - The above description is illustrative and not restrictive. Many variations of the invention will become apparent to those of skill in the art upon review of this disclosure. While the present invention has been described in connection with a variety of embodiments, these descriptions are not intended to limit the scope of the invention to the particular forms set forth herein. To the contrary, the present descriptions are intended to cover alternatives, modifications, and equivalents as may be included within the spirit and scope of the invention as defined by the appended claims and otherwise appreciated by one of ordinary skill in the art.
Claims (14)
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Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140297758A1 (en) * | 2013-03-26 | 2014-10-02 | Hewlett-Packard Development Company, L.P. | Event notifications based on learned traveling times between locations |
US8958988B2 (en) | 2002-03-05 | 2015-02-17 | Pelmorex Canada Inc. | Method for choosing a traffic route |
US8982116B2 (en) | 2009-03-04 | 2015-03-17 | Pelmorex Canada Inc. | Touch screen based interaction with traffic data |
US20150088835A1 (en) * | 2013-09-24 | 2015-03-26 | At&T Intellectual Property I, L.P. | Facilitating determination of reliability of crowd sourced information |
US9046924B2 (en) | 2009-03-04 | 2015-06-02 | Pelmorex Canada Inc. | Gesture based interaction with traffic data |
US9127959B2 (en) | 2003-07-25 | 2015-09-08 | Pelmorex Canada Inc. | System and method for delivering departure notifications |
US9293039B2 (en) | 2012-01-27 | 2016-03-22 | Pelmorex Canada Inc. | Estimating time travel distributions on signalized arterials |
US9372687B1 (en) * | 2015-05-29 | 2016-06-21 | Intuit Inc. | Product customization based on user contributions |
US9390620B2 (en) | 2011-05-18 | 2016-07-12 | Pelmorex Canada Inc. | System for providing traffic data and driving efficiency data |
US9448690B2 (en) | 2009-03-04 | 2016-09-20 | Pelmorex Canada Inc. | Controlling a three-dimensional virtual broadcast presentation |
US9518830B1 (en) | 2011-12-28 | 2016-12-13 | Intelligent Technologies International, Inc. | Vehicular navigation system updating based on object presence |
US10223909B2 (en) | 2012-10-18 | 2019-03-05 | Uber Technologies, Inc. | Estimating time travel distributions on signalized arterials |
US10408631B2 (en) * | 2015-07-24 | 2019-09-10 | International Business Machines Corporation | Journey planning |
US10475338B1 (en) | 2018-09-27 | 2019-11-12 | Melodie Noel | Monitoring and reporting traffic information |
US11867528B2 (en) * | 2018-12-20 | 2024-01-09 | Here Global B.V. | Method, apparatus, and system for providing road closure graph inconsistency resolution |
Families Citing this family (99)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7480512B2 (en) | 2004-01-16 | 2009-01-20 | Bones In Motion, Inc. | Wireless device, program products and methods of using a wireless device to deliver services |
US12105208B2 (en) | 2004-06-30 | 2024-10-01 | Adidas Ag | Systems and methods for providing a health coaching message |
US9459622B2 (en) | 2007-01-12 | 2016-10-04 | Legalforce, Inc. | Driverless vehicle commerce network and community |
US9071367B2 (en) * | 2006-03-17 | 2015-06-30 | Fatdoor, Inc. | Emergency including crime broadcast in a neighborhood social network |
US9070101B2 (en) | 2007-01-12 | 2015-06-30 | Fatdoor, Inc. | Peer-to-peer neighborhood delivery multi-copter and method |
US9002754B2 (en) | 2006-03-17 | 2015-04-07 | Fatdoor, Inc. | Campaign in a geo-spatial environment |
US9373149B2 (en) | 2006-03-17 | 2016-06-21 | Fatdoor, Inc. | Autonomous neighborhood vehicle commerce network and community |
US9037516B2 (en) | 2006-03-17 | 2015-05-19 | Fatdoor, Inc. | Direct mailing in a geo-spatial environment |
US9064288B2 (en) | 2006-03-17 | 2015-06-23 | Fatdoor, Inc. | Government structures and neighborhood leads in a geo-spatial environment |
US9098545B2 (en) | 2007-07-10 | 2015-08-04 | Raj Abhyanker | Hot news neighborhood banter in a geo-spatial social network |
US8965409B2 (en) | 2006-03-17 | 2015-02-24 | Fatdoor, Inc. | User-generated community publication in an online neighborhood social network |
US8863245B1 (en) | 2006-10-19 | 2014-10-14 | Fatdoor, Inc. | Nextdoor neighborhood social network method, apparatus, and system |
US8219316B2 (en) * | 2008-11-14 | 2012-07-10 | Google Inc. | System and method for storing and providing routes |
US9375115B2 (en) | 2009-02-26 | 2016-06-28 | Safeway Safety Step Llc | Bathtub overlay |
US8805707B2 (en) * | 2009-12-31 | 2014-08-12 | Hartford Fire Insurance Company | Systems and methods for providing a safety score associated with a user location |
US9131809B2 (en) | 2011-01-31 | 2015-09-15 | Safeway Safety Step Llc | Bathtub insert for retrofit installation |
US20130060582A1 (en) * | 2011-09-01 | 2013-03-07 | Brian M. Cutino | Underwriting system and method associated with a civic improvement platform |
CN103874983B (en) * | 2011-10-11 | 2018-06-08 | 英特尔公司 | It is generated for the automatic code of crowdsourcing automatic data accquisition |
US9117238B2 (en) * | 2012-04-18 | 2015-08-25 | Ebay Inc. | Method, system, and medium for generating a mobile interface indicating traffic level for local merchants |
US8760314B2 (en) * | 2012-06-11 | 2014-06-24 | Apple Inc. | Co-operative traffic notification |
WO2013190689A1 (en) * | 2012-06-21 | 2013-12-27 | トヨタ自動車 株式会社 | Route search device and route search method |
GB201211618D0 (en) | 2012-06-29 | 2012-08-15 | Tomtom Dev Germany Gmbh | Methods of providing traffic flow messages |
US20140067800A1 (en) * | 2012-08-31 | 2014-03-06 | Amit Sharma | Systems and methods for analyzing and predicting automotive data |
US10148709B2 (en) * | 2012-08-31 | 2018-12-04 | Here Global B.V. | Method and apparatus for updating or validating a geographic record based on crowdsourced location data |
CN103680180B (en) * | 2012-09-13 | 2017-09-22 | 腾讯科技(深圳)有限公司 | A kind of traffic related information reminding method and system |
WO2014060786A1 (en) * | 2012-10-15 | 2014-04-24 | Freescale Semiconductor, Inc. | Method and apparatus for reporting traffic information |
US9125000B2 (en) * | 2012-12-14 | 2015-09-01 | Intel Corporation | Location-aware mobile application management |
US9170863B2 (en) | 2013-02-01 | 2015-10-27 | Apple Inc. | Dynamic location search suggestions based on travel itineraries |
US8947263B2 (en) * | 2013-02-15 | 2015-02-03 | Google Inc. | Assessing traffic status with sensors |
DE202013002107U1 (en) * | 2013-03-06 | 2013-06-19 | Amv Networks Gmbh | AMV system |
US10776326B2 (en) * | 2013-03-15 | 2020-09-15 | Volkswage Ag | Personal real time navigation map augmentation |
GB2532688A (en) * | 2013-09-09 | 2016-05-25 | Intel Corp | Situational crowd-sourced response system |
KR20150061102A (en) * | 2013-11-25 | 2015-06-04 | 주식회사 케이티 | Control system and method thereof |
CN103646560B (en) * | 2013-11-27 | 2015-12-02 | 福建工程学院 | The extracting method in taxi wheelpath experimental knowledge path |
KR101475040B1 (en) * | 2013-12-23 | 2014-12-24 | 한국교통대학교산학협력단 | Method and System for Providing Social Network Service Based on Traffic Information |
WO2015103504A1 (en) * | 2014-01-03 | 2015-07-09 | Silva Joseph Craig | Test and validation system and method for transportation systems |
US9439367B2 (en) | 2014-02-07 | 2016-09-13 | Arthi Abhyanker | Network enabled gardening with a remotely controllable positioning extension |
US9547989B2 (en) * | 2014-03-04 | 2017-01-17 | Google Inc. | Reporting road event data and sharing with other vehicles |
US9457901B2 (en) | 2014-04-22 | 2016-10-04 | Fatdoor, Inc. | Quadcopter with a printable payload extension system and method |
US9004396B1 (en) | 2014-04-24 | 2015-04-14 | Fatdoor, Inc. | Skyteboard quadcopter and method |
US20150335206A1 (en) | 2014-04-28 | 2015-11-26 | Safeway Safety Step, Llc | Bathtub systems and methods |
US10880118B2 (en) | 2014-05-01 | 2020-12-29 | Elizabeth B. Stolfus | Providing dynamic routing alternatives based on determined traffic conditions |
US9755850B2 (en) | 2014-05-01 | 2017-09-05 | Elizabeth B. Stolfus | Providing dynamic routing alternatives based on determined traffic conditions |
US9022324B1 (en) | 2014-05-05 | 2015-05-05 | Fatdoor, Inc. | Coordination of aerial vehicles through a central server |
US9441981B2 (en) | 2014-06-20 | 2016-09-13 | Fatdoor, Inc. | Variable bus stops across a bus route in a regional transportation network |
US9971985B2 (en) | 2014-06-20 | 2018-05-15 | Raj Abhyanker | Train based community |
US9854015B2 (en) * | 2014-06-25 | 2017-12-26 | International Business Machines Corporation | Incident data collection for public protection agencies |
US9409644B2 (en) * | 2014-07-16 | 2016-08-09 | Ford Global Technologies, Llc | Automotive drone deployment system |
US9451020B2 (en) | 2014-07-18 | 2016-09-20 | Legalforce, Inc. | Distributed communication of independent autonomous vehicles to provide redundancy and performance |
US9918001B2 (en) | 2014-08-21 | 2018-03-13 | Toyota Motor Sales, U.S.A., Inc. | Crowd sourcing exterior vehicle images of traffic conditions |
US20160063005A1 (en) * | 2014-08-27 | 2016-03-03 | Toyota Jidosha Kabushiki Kaisha | Communication of cloud-based content to a driver |
US9689695B2 (en) | 2014-09-19 | 2017-06-27 | Empire Technology Development Llc | Meeting point determination for group members |
US10024684B2 (en) * | 2014-12-02 | 2018-07-17 | Operr Technologies, Inc. | Method and system for avoidance of accidents |
US9686451B2 (en) * | 2015-01-21 | 2017-06-20 | Toyota Jidosha Kabushiki Kaisha | Real time driving difficulty categorization |
US9400186B1 (en) | 2015-02-16 | 2016-07-26 | International Business Machines Corporation | Integration of historical user experience analytics into route recommendations |
US10598781B2 (en) * | 2015-05-29 | 2020-03-24 | Maxlinear, Inc. | Cooperative and crowd-sourced multifunctional automotive radar |
GB201512490D0 (en) | 2015-07-16 | 2015-08-19 | Tomtom Traffic Bv | Methods and systems for detecting a closure of a navigable element |
USD790047S1 (en) | 2016-01-19 | 2017-06-20 | Safeway Safety Step, Llc | Bathtub closure |
KR20170088548A (en) * | 2016-01-25 | 2017-08-02 | 현대자동차주식회사 | A telematics terminal, a telematics server, a telematics system and controlling method for the same |
US10154048B2 (en) | 2016-03-18 | 2018-12-11 | Qualcomm Incorporated | Methods and systems for location-based authentication using neighboring sensors |
US10368037B2 (en) * | 2016-03-23 | 2019-07-30 | Purdue Research Foundation | Public safety camera monitoring system and method |
US10506201B2 (en) * | 2016-03-23 | 2019-12-10 | Purdue Research Foundation | Public safety camera identification and monitoring system and method |
US10341617B2 (en) * | 2016-03-23 | 2019-07-02 | Purdue Research Foundation | Public safety camera identification and monitoring system and method |
US10719086B2 (en) | 2016-07-13 | 2020-07-21 | Flytrex Aviation Ltd. | System and method for dynamically updated unmanned vehicle navigation planning |
US11762384B2 (en) | 2016-04-24 | 2023-09-19 | Flytrex Aviation Ltd. | System and method for dynamically arming a failsafe on a delivery drone |
US11226619B2 (en) | 2016-04-24 | 2022-01-18 | Flytrex Aviation Ltd. | Dynamically arming a safety mechanism on a delivery drone |
US9615066B1 (en) | 2016-05-03 | 2017-04-04 | Bao Tran | Smart lighting and city sensor |
US20180165954A1 (en) * | 2016-07-26 | 2018-06-14 | Faraday&Future Inc. | Dynamic traffic lane assignment |
CN106354839B (en) * | 2016-08-31 | 2019-12-17 | 国信优易数据有限公司 | Method and system for detecting timeliness of data |
US10204499B1 (en) * | 2016-09-23 | 2019-02-12 | Symantec Corporation | Anomaly based geofencing leveraging location duration |
US10699305B2 (en) | 2016-11-21 | 2020-06-30 | Nio Usa, Inc. | Smart refill assistant for electric vehicles |
US10264586B2 (en) | 2016-12-09 | 2019-04-16 | At&T Mobility Ii Llc | Cloud-based packet controller and methods for use therewith |
US10810695B2 (en) | 2016-12-31 | 2020-10-20 | Ava Information Systems Gmbh | Methods and systems for security tracking and generating alerts |
US20180195864A1 (en) * | 2017-01-12 | 2018-07-12 | Conduent Business Services, LLC. | Use of gps signals from multiple vehicles for robust vehicle tracking |
US10471829B2 (en) | 2017-01-16 | 2019-11-12 | Nio Usa, Inc. | Self-destruct zone and autonomous vehicle navigation |
US10286915B2 (en) | 2017-01-17 | 2019-05-14 | Nio Usa, Inc. | Machine learning for personalized driving |
US10527449B2 (en) | 2017-04-10 | 2020-01-07 | Microsoft Technology Licensing, Llc | Using major route decision points to select traffic cameras for display |
US10520948B2 (en) | 2017-05-12 | 2019-12-31 | Autonomy Squared Llc | Robot delivery method |
US10234302B2 (en) | 2017-06-27 | 2019-03-19 | Nio Usa, Inc. | Adaptive route and motion planning based on learned external and internal vehicle environment |
US10837790B2 (en) | 2017-08-01 | 2020-11-17 | Nio Usa, Inc. | Productive and accident-free driving modes for a vehicle |
US10635109B2 (en) | 2017-10-17 | 2020-04-28 | Nio Usa, Inc. | Vehicle path-planner monitor and controller |
US10606274B2 (en) | 2017-10-30 | 2020-03-31 | Nio Usa, Inc. | Visual place recognition based self-localization for autonomous vehicles |
US10935978B2 (en) | 2017-10-30 | 2021-03-02 | Nio Usa, Inc. | Vehicle self-localization using particle filters and visual odometry |
JP6570598B2 (en) * | 2017-11-08 | 2019-09-04 | 本田技研工業株式会社 | Map generation server and map generation method |
TWI652959B (en) | 2017-11-24 | 2019-03-01 | 中華電信股份有限公司 | System and method for estimating vehicular traffic by cellular data |
US11402227B2 (en) | 2018-08-14 | 2022-08-02 | GM Global Technology Operations LLC | Dynamic route adjustment |
WO2020117073A1 (en) * | 2018-12-06 | 2020-06-11 | Motorola Solutions, Inc | Device and method for validating a public safety agency command issued to a vehicle |
WO2020121069A1 (en) * | 2018-12-12 | 2020-06-18 | Datacorp Traffic Private Limited | System and method of traffic data collection and analysis |
US11468136B2 (en) | 2019-01-19 | 2022-10-11 | International Business Machines Corporation | Item inventory locating from search queries |
US11774256B2 (en) * | 2019-01-30 | 2023-10-03 | Uber Technologies, Inc. | User control of alternate routes |
US10783782B1 (en) * | 2019-03-08 | 2020-09-22 | International Business Machines Corporation | Vehicle management |
US11168990B2 (en) | 2019-03-11 | 2021-11-09 | Toyota Research Institute, Inc. | Crowdsourcing annotations of roadway information |
US11770311B2 (en) * | 2019-04-05 | 2023-09-26 | Palo Alto Networks, Inc. | Automatic and dynamic performance benchmarking and scoring of applications based on crowdsourced traffic data |
WO2021041008A2 (en) * | 2019-08-07 | 2021-03-04 | Blissway Inc. | Systems and methods for automated highway reservation |
US11495124B2 (en) * | 2019-11-22 | 2022-11-08 | At&T Intellectual Property I, L.P. | Traffic pattern detection for creating a simulated traffic zone experience |
US11587049B2 (en) | 2019-11-22 | 2023-02-21 | At&T Intellectual Property I, L.P. | Combining user device identity with vehicle information for traffic zone detection |
US11393333B2 (en) | 2019-11-22 | 2022-07-19 | At&T Intellectual Property I, L.P. | Customizable traffic zone |
GB201918833D0 (en) * | 2019-12-19 | 2020-02-05 | Tomtom Traffic Bv | Methods and systems for generating traffic volume data |
CN115667850B (en) * | 2020-05-18 | 2023-11-10 | 苹果公司 | User interface for reporting events |
Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050021225A1 (en) * | 2003-07-25 | 2005-01-27 | Christopher Kantarjiev | System and method for determining recommended departure time |
US20060074546A1 (en) * | 1999-04-19 | 2006-04-06 | Dekock Bruce W | System for providing traffic information |
US20070009156A1 (en) * | 2005-04-15 | 2007-01-11 | O'hara Charles G | Linear correspondence assessment |
US20070142995A1 (en) * | 2003-12-11 | 2007-06-21 | Daimlerchrysler Ag | Adaptation of an automatic distance control to traffic users potentially merging into the lane thereof |
US20080014908A1 (en) * | 2006-07-17 | 2008-01-17 | Abraham Vasant | System and method for coordinating customized mobility services through a network |
US20080021632A1 (en) * | 2004-06-25 | 2008-01-24 | Kouji Amano | Traffic Condition Report Device, System Thereof, Method Thereof, Program For Executing The Method, And Recording Medium Containing The Program |
US20090254272A1 (en) * | 2008-04-01 | 2009-10-08 | Hendrey Geoffrey R | Retrieval Of Vehicular Traffic Information Optimized For Wireless Mobile Environments |
US20100036594A1 (en) * | 2008-08-11 | 2010-02-11 | Clarion Co., Ltd. | Method and apparatus for determining traffic data |
US20100045517A1 (en) * | 2004-07-20 | 2010-02-25 | Global Precision Solutions, Llp | Precision GPS Driven Utility Asset Management and Utility Damage Prevention System and Method |
US20100100307A1 (en) * | 2008-10-10 | 2010-04-22 | Jin Hong Kim | Universal GPS Traffic Monitoring System |
US20110029189A1 (en) * | 2009-07-29 | 2011-02-03 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Promotional correlation with selective vehicle modes |
US8024111B1 (en) * | 2008-04-02 | 2011-09-20 | Strategic Design Federation W, Inc. | Travel route system and method |
US20110288763A1 (en) * | 2010-05-18 | 2011-11-24 | Alpine Electronics, Inc. | Method and apparatus for displaying three-dimensional route guidance |
US20120226434A1 (en) * | 2011-03-04 | 2012-09-06 | Board of Regents, University of Arizona | Active traffic and demand management system |
Family Cites Families (266)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5126941A (en) | 1982-11-08 | 1992-06-30 | Hailemichael Gurmu | Vehicle guidance system |
US5247439A (en) | 1982-11-08 | 1993-09-21 | Hailemichael Gurmu | Vehicle guidance system |
US5297049A (en) | 1982-11-08 | 1994-03-22 | Hailemichael Gurmu | Vehicle guidance system |
US4796191A (en) | 1984-06-07 | 1989-01-03 | Etak, Inc. | Vehicle navigational system and method |
US4914605A (en) | 1984-10-22 | 1990-04-03 | Etak, Inc. | Apparatus and method for displaying a map |
JPH0827811B2 (en) | 1985-02-28 | 1996-03-21 | 株式会社日立製作所 | Transportation planning method and system |
US4734863A (en) | 1985-03-06 | 1988-03-29 | Etak, Inc. | Apparatus for generating a heading signal for a land vehicle |
CA1277043C (en) | 1985-07-25 | 1990-11-27 | Marvin S. White, Jr. | Apparatus storing a representation of topological structures and methods of building and searching the representation |
US4788645A (en) | 1986-03-21 | 1988-11-29 | Etak, Incorporated | Method and apparatus for measuring relative heading changes in a vehicular onboard navigation system |
US4878170A (en) | 1987-03-17 | 1989-10-31 | Zeevi Eliahu I | Vehicle navigation system |
US4792803A (en) | 1987-06-08 | 1988-12-20 | Madnick Peter A | Traffic monitoring and reporting system |
US5095532A (en) | 1989-12-29 | 1992-03-10 | Robert Bosch Gmbh | Method and apparatus for route-selective reproduction of broadcast traffic announcements |
US5173691A (en) | 1990-07-26 | 1992-12-22 | Farradyne Systems, Inc. | Data fusion process for an in-vehicle traffic congestion information system |
US5164904A (en) | 1990-07-26 | 1992-11-17 | Farradyne Systems, Inc. | In-vehicle traffic congestion information system |
US5182555A (en) | 1990-07-26 | 1993-01-26 | Farradyne Systems, Inc. | Cell messaging process for an in-vehicle traffic congestion information system |
US5276785A (en) | 1990-08-02 | 1994-01-04 | Xerox Corporation | Moving viewpoint with respect to a target in a three-dimensional workspace |
JP2689357B2 (en) | 1990-09-04 | 1997-12-10 | 株式会社ゼクセル | Relative direction detection method |
JP2767315B2 (en) | 1990-09-04 | 1998-06-18 | 株式会社ゼクセル | Vehicle relative heading detection method |
US5220507A (en) | 1990-11-08 | 1993-06-15 | Motorola, Inc. | Land vehicle multiple navigation route apparatus |
US5068656A (en) | 1990-12-21 | 1991-11-26 | Rockwell International Corporation | System and method for monitoring and reporting out-of-route mileage for long haul trucks |
USRE38724E1 (en) | 1991-02-01 | 2005-04-12 | Peterson Thomas D | Method and apparatus for providing shortest elapsed time route and tracking information to users |
US5845227A (en) | 1991-02-01 | 1998-12-01 | Peterson; Thomas D. | Method and apparatus for providing shortest elapsed time route and tracking information to users |
JP2955073B2 (en) | 1991-08-05 | 1999-10-04 | ビステオン・テクノロジーズ,エル・エル・シー | Vehicle navigation system |
US5297028A (en) | 1991-08-27 | 1994-03-22 | Zexel Corporation Daihatsu-Nissan | Method and apparatus for correcting drift errors in an angular rate sensor |
US5311195A (en) | 1991-08-30 | 1994-05-10 | Etak, Inc. | Combined relative and absolute positioning method and apparatus |
US5515284A (en) | 1991-09-25 | 1996-05-07 | Zexel Corporation | Storage medium for map information for navigation system and system for offering map information for navigation system |
US5283575A (en) | 1991-11-08 | 1994-02-01 | Zexel Corporation | System and method for locating a travelling vehicle |
US5394333A (en) | 1991-12-23 | 1995-02-28 | Zexel Usa Corp. | Correcting GPS position in a hybrid naviation system |
US5339246A (en) | 1992-03-17 | 1994-08-16 | Zexel Corporation Diahatsu-Nissan | Apparatus for correcting vehicular compass heading with the aid of the global positioning system |
US5291412A (en) | 1992-03-24 | 1994-03-01 | Zexel Corporation | Navigation system |
US5262775A (en) | 1992-04-07 | 1993-11-16 | Zexel Corporation | Navigation system with off-route detection and route recalculation |
US5303159A (en) | 1992-04-14 | 1994-04-12 | Zexel Corporation Daihatsu-Nissan | Navigation system with off-route detection and route recalculation |
US5291414A (en) | 1992-04-14 | 1994-03-01 | Zexel Corporation Diahatsu-Nissan Ikebukuro | Navigation system for guiding a vehicle along a precomputed optimal route |
US5608635A (en) | 1992-04-14 | 1997-03-04 | Zexel Corporation | Navigation system for a vehicle with route recalculation between multiple locations |
US5291413A (en) | 1992-04-14 | 1994-03-01 | Zexel Corporation Daihatsu-Nissan Ikebukuro | Navigation system for guiding a vehicle along a precomputed optimal route |
US5345382A (en) | 1992-05-15 | 1994-09-06 | Zexel Corporation | Calibration method for a relative heading sensor |
US5359529A (en) | 1992-05-15 | 1994-10-25 | Zexel Corporation | Route guidance on/off-route state filter |
JP2983111B2 (en) | 1992-07-20 | 1999-11-29 | 富士通株式会社 | Electrical equipment |
US5390123A (en) | 1992-06-09 | 1995-02-14 | Zexel Corporation Daihatsu-Nissay | Navigation system with accurate determination of angular velocity |
JPH0634384A (en) | 1992-07-16 | 1994-02-08 | Zexel Corp | Vehicular navigation device |
US5465079A (en) | 1992-08-14 | 1995-11-07 | Vorad Safety Systems, Inc. | Method and apparatus for determining driver fitness in real time |
SE470367B (en) | 1992-11-19 | 1994-01-31 | Kjell Olsson | Ways to predict traffic parameters |
US5374933A (en) | 1993-01-05 | 1994-12-20 | Zexel Corporation | Position correction method for vehicle navigation system |
JP2999339B2 (en) | 1993-01-11 | 2000-01-17 | 三菱電機株式会社 | Vehicle route guidance device |
JPH076295A (en) | 1993-06-15 | 1995-01-10 | Aisin Seiki Co Ltd | Mobile station position monitoring system |
US5550538A (en) | 1993-07-14 | 1996-08-27 | Zexel Corporation | Navigation system |
US5583972A (en) | 1993-08-02 | 1996-12-10 | Miller; Richard L. | 3-D weather display and weathercast system |
US5488559A (en) | 1993-08-02 | 1996-01-30 | Motorola, Inc. | Map-matching with competing sensory positions |
US5402120A (en) | 1993-08-18 | 1995-03-28 | Zexel Corporation | Navigation system |
US5414630A (en) | 1993-09-29 | 1995-05-09 | Zexel Corporation | Vehicle-mounted navigation system |
US5539645A (en) | 1993-11-19 | 1996-07-23 | Philips Electronics North America Corporation | Traffic monitoring system with reduced communications requirements |
EP0660083B1 (en) | 1993-12-27 | 2000-09-27 | Aisin Aw Co., Ltd. | Vehicular information display system |
US5793310A (en) | 1994-02-04 | 1998-08-11 | Nissan Motor Co., Ltd. | Portable or vehicular navigating apparatus and method capable of displaying bird's eye view |
SE516278C2 (en) | 1994-03-04 | 2001-12-10 | Volvo Ab | Traffic information systems and procedures for providing traffic information |
US5751245A (en) | 1994-03-25 | 1998-05-12 | Trimble Navigation Ltd. | Vehicle route and schedule exception reporting system |
US5546107A (en) | 1994-04-05 | 1996-08-13 | Etak, Inc. | Automatic chain-based conflation of digital maps |
US5706503A (en) | 1994-05-18 | 1998-01-06 | Etak Inc | Method of clustering multi-dimensional related data in a computer database by combining the two verticles of a graph connected by an edge having the highest score |
US5515283A (en) | 1994-06-20 | 1996-05-07 | Zexel Corporation | Method for identifying highway access ramps for route calculation in a vehicle navigation system |
US6321158B1 (en) | 1994-06-24 | 2001-11-20 | Delorme Publishing Company | Integrated routing/mapping information |
US5931888A (en) | 1994-09-22 | 1999-08-03 | Aisin Aw Co., Ltd. | Navigation system for vehicles with alternative route searching capabilities |
CA2158500C (en) | 1994-11-04 | 1999-03-30 | Ender Ayanoglu | Navigation system for an automotive vehicle |
US5554845A (en) | 1994-11-14 | 1996-09-10 | Santa Barbara Research Center | Method and apparatus to effectively eliminate optical interference structure in detector response |
US5610821A (en) | 1994-11-18 | 1997-03-11 | Ibm Corporation | Optimal and stable route planning system |
US5485161A (en) | 1994-11-21 | 1996-01-16 | Trimble Navigation Limited | Vehicle speed control based on GPS/MAP matching of posted speeds |
US5499182A (en) | 1994-12-07 | 1996-03-12 | Ousborne; Jeffrey | Vehicle driver performance monitoring system |
EP0720137B1 (en) | 1994-12-28 | 2007-02-21 | Omron Corporation | Traffic information system |
US5682525A (en) | 1995-01-11 | 1997-10-28 | Civix Corporation | System and methods for remotely accessing a selected group of items of interest from a database |
US5938720A (en) | 1995-02-09 | 1999-08-17 | Visteon Technologies, Llc | Route generation in a vehicle navigation system |
US5712788A (en) | 1995-02-09 | 1998-01-27 | Zexel Corporation | Incremental route calculation |
US5532690A (en) | 1995-04-04 | 1996-07-02 | Itt Corporation | Apparatus and method for monitoring and bounding the path of a ground vehicle |
US5731978A (en) | 1995-06-07 | 1998-03-24 | Zexel Corporation | Method and apparatus for enhancing vehicle navigation through recognition of geographical region types |
EP0749103B1 (en) | 1995-06-13 | 2003-05-14 | Matsushita Electric Industrial Co., Ltd. | Automotive navigation apparatus and recording medium storing program therefor |
US5862244A (en) | 1995-07-13 | 1999-01-19 | Motorola, Inc. | Satellite traffic reporting system and methods |
US5911773A (en) | 1995-07-24 | 1999-06-15 | Aisin Aw Co., Ltd. | Navigation system for vehicles |
JP3425276B2 (en) | 1995-08-11 | 2003-07-14 | 株式会社日立製作所 | Information notification system |
US5898390A (en) | 1995-09-14 | 1999-04-27 | Zexel Corporation | Method and apparatus for calibration of a distance sensor in a vehicle navigation system |
JPH09114367A (en) | 1995-10-24 | 1997-05-02 | Mitsubishi Electric Corp | On-vehicle traveling controller |
DE19539641C2 (en) | 1995-10-25 | 2000-02-17 | Daimler Chrysler Ag | Method and device for traffic situation-dependent vehicle route guidance |
US5933100A (en) | 1995-12-27 | 1999-08-03 | Mitsubishi Electric Information Technology Center America, Inc. | Automobile navigation system with dynamic traffic data |
US5729458A (en) | 1995-12-29 | 1998-03-17 | Etak, Inc. | Cost zones |
US5797134A (en) | 1996-01-29 | 1998-08-18 | Progressive Casualty Insurance Company | Motor vehicle monitoring system for determining a cost of insurance |
US5742922A (en) | 1996-02-12 | 1998-04-21 | Hyundai Motor Company | Vehicle navigation system and method for selecting a route according to fuel consumption |
US5774827A (en) | 1996-04-03 | 1998-06-30 | Motorola Inc. | Commuter route selection system |
EP1426910A3 (en) | 1996-04-16 | 2006-11-02 | Xanavi Informatics Corporation | Map display device, navigation device and map display method |
US5893898A (en) | 1996-07-30 | 1999-04-13 | Alpine Electronics, Inc. | Navigation system having intersection routing using a road segment based database |
US6111521A (en) | 1996-09-18 | 2000-08-29 | Mannesmann Vdo Ag | Apparatus for supplying traffic-related information |
US5922042A (en) | 1996-09-30 | 1999-07-13 | Visteon Technologies, Llc | Automatic resumption of route guidance in vehicle navigation system |
US5904728A (en) | 1996-10-11 | 1999-05-18 | Visteon Technologies, Llc | Voice guidance timing in a vehicle navigation system |
JP3698835B2 (en) | 1996-10-25 | 2005-09-21 | 三菱電機株式会社 | Traffic information display device, display method thereof, and medium on which display control program for traffic information display device is recorded |
US5902350A (en) | 1996-10-30 | 1999-05-11 | Visteon Technologies, Llc | Generating a maneuver at the intersection through a turn lane |
US5948043A (en) | 1996-11-08 | 1999-09-07 | Etak, Inc. | Navigation system using GPS data |
US5982298A (en) | 1996-11-14 | 1999-11-09 | Microsoft Corporation | Interactive traffic display and trip planner |
US6253154B1 (en) | 1996-11-22 | 2001-06-26 | Visteon Technologies, Llc | Method and apparatus for navigating with correction of angular speed using azimuth detection sensor |
US5893081A (en) | 1996-11-25 | 1999-04-06 | Etak, Inc. | Using multiple levels of costs for a pathfinding computation |
US5916299A (en) | 1996-11-25 | 1999-06-29 | Etak, Inc. | Method for determining exits and entrances for a region in a network |
US6058390A (en) | 1996-11-26 | 2000-05-02 | Visteon Technologies, Llc | Vehicle navigation assistance device having fast file access capability |
US5910177A (en) | 1996-12-09 | 1999-06-08 | Visteon Technologies, Llc | Navigating close proximity routes with a vehicle navigation system |
US5862509A (en) | 1996-12-20 | 1999-01-19 | Zexel Corporation | Vehicle navigation using timed turn and timed lane restrictions |
US5928307A (en) | 1997-01-15 | 1999-07-27 | Visteon Technologies, Llc | Method and apparatus for determining an alternate route in a vehicle navigation system |
US5978730A (en) | 1997-02-20 | 1999-11-02 | Sony Corporation | Caching for pathfinding computation |
US5850190A (en) | 1997-03-06 | 1998-12-15 | Sony Corporation | Traffic information pager |
US6209026B1 (en) | 1997-03-07 | 2001-03-27 | Bin Ran | Central processing and combined central and local processing of personalized real-time traveler information over internet/intranet |
US5987381A (en) | 1997-03-11 | 1999-11-16 | Visteon Technologies, Llc | Automobile navigation system using remote download of data |
US20010018628A1 (en) | 1997-03-27 | 2001-08-30 | Mentor Heavy Vehicle Systems, Lcc | System for monitoring vehicle efficiency and vehicle and driver perfomance |
US5999882A (en) | 1997-06-04 | 1999-12-07 | Sterling Software, Inc. | Method and system of providing weather information along a travel route |
US6091956A (en) | 1997-06-12 | 2000-07-18 | Hollenberg; Dennis D. | Situation information system |
DE19724919A1 (en) | 1997-06-12 | 1999-01-07 | Adolph Michael Dr | Method for generating, merging and updating data usable in a route guidance system |
JP4121157B2 (en) | 1997-07-01 | 2008-07-23 | マネスマン ファウデーオー アーゲー | Vehicle navigation system |
US5991687A (en) | 1997-07-02 | 1999-11-23 | Case Corporation | System and method for communicating information related to a geographical area |
US6091359A (en) | 1997-07-14 | 2000-07-18 | Motorola, Inc. | Portable dead reckoning system for extending GPS coverage |
US6021406A (en) | 1997-11-14 | 2000-02-01 | Etak, Inc. | Method for storing map data in a database using space filling curves and a method of searching the database to find objects in a given area and to find objects nearest to a location |
US6065120A (en) | 1997-12-09 | 2000-05-16 | Phone.Com, Inc. | Method and system for self-provisioning a rendezvous to ensure secure access to information in a database from multiple devices |
US6097399A (en) | 1998-01-16 | 2000-08-01 | Honeywell Inc. | Display of visual data utilizing data aggregation |
US6038509A (en) | 1998-01-22 | 2000-03-14 | Etak, Inc. | System for recalculating a path |
CA2318815C (en) | 1998-01-26 | 2004-08-10 | Wayne Westerman | Method and apparatus for integrating manual input |
US6252544B1 (en) | 1998-01-27 | 2001-06-26 | Steven M. Hoffberg | Mobile communication device |
US6016485A (en) | 1998-02-13 | 2000-01-18 | Etak, Inc. | System for pathfinding |
US6144919A (en) | 1998-03-27 | 2000-11-07 | Visteon Technologies, Llc | Method and apparatus for using non-digitized cities for route calculation |
JPH11311533A (en) | 1998-04-28 | 1999-11-09 | Xanavi Informatics Corp | Routing device |
US6298305B1 (en) | 1998-07-15 | 2001-10-02 | Visteon Technologies, Llc | Methods and apparatus for providing voice guidance in a vehicle navigation system |
EP0987665A3 (en) | 1998-07-30 | 2000-10-25 | Visteon Technologies, LLC | Vehicle navigation system, method and apparatus |
US6147626A (en) | 1998-08-11 | 2000-11-14 | Visteon Technologies, Llc | Determination of zero-angular-velocity output level for angular velocity sensor |
JP2000055675A (en) | 1998-08-14 | 2000-02-25 | Toyota Motor Corp | Map display device for vehicle and its method |
US6161092A (en) | 1998-09-29 | 2000-12-12 | Etak, Inc. | Presenting information using prestored speech |
JP3654009B2 (en) | 1998-10-08 | 2005-06-02 | 日産自動車株式会社 | Navigation device |
US6598016B1 (en) | 1998-10-20 | 2003-07-22 | Tele Atlas North America, Inc. | System for using speech recognition with map data |
US6532304B1 (en) | 1998-10-21 | 2003-03-11 | Tele Atlas North America, Inc. | Matching geometric objects |
US6504541B1 (en) | 1998-10-21 | 2003-01-07 | Tele Atlas North America, Inc. | Warping geometric objects |
FI106823B (en) | 1998-10-23 | 2001-04-12 | Nokia Mobile Phones Ltd | Information retrieval system |
ES2353555T3 (en) | 1998-11-23 | 2011-03-03 | Integrated Transport Information Services Limited | INSTANT TRAFFIC SUPERVISION SYSTEM. |
US6150961A (en) | 1998-11-24 | 2000-11-21 | International Business Machines Corporation | Automated traffic mapping |
DE19856187A1 (en) | 1998-12-05 | 2000-06-15 | Alcatel Sa | Satellite-based map matching process |
DE19856704C2 (en) | 1998-12-09 | 2001-09-13 | Daimler Chrysler Ag | Method and device for vehicle route guidance and / or travel time estimation |
US6885937B1 (en) | 1998-12-10 | 2005-04-26 | Tele Atlas North America, Inc. | Shortcut generator |
US6754485B1 (en) | 1998-12-23 | 2004-06-22 | American Calcar Inc. | Technique for effectively providing maintenance and information to vehicles |
US6188956B1 (en) | 1998-12-30 | 2001-02-13 | Garmin Corporation | Navigation device and method for selectively displaying thoroughfare names |
US6295492B1 (en) | 1999-01-27 | 2001-09-25 | Infomove.Com, Inc. | System for transmitting and displaying multiple, motor vehicle information |
US6463400B1 (en) | 1999-02-01 | 2002-10-08 | Tele Atlas North America Inc | Quarter sectioning algorithm |
CA2266208C (en) * | 1999-03-19 | 2008-07-08 | Wenking Corp. | Remote road traffic data exchange and intelligent vehicle highway system |
US6466862B1 (en) | 1999-04-19 | 2002-10-15 | Bruce DeKock | System for providing traffic information |
US6710774B1 (en) | 1999-05-12 | 2004-03-23 | Denso Corporation | Map display device |
US6222485B1 (en) | 1999-05-20 | 2001-04-24 | Garmin Corporation | Use of desired orientation in automotive navigation equipment |
AU5029900A (en) | 1999-05-21 | 2000-12-12 | Etak Inc. | Computing sign text for branches of an electronic map network |
US6362730B2 (en) | 1999-06-14 | 2002-03-26 | Sun Microsystems, Inc. | System and method for collecting vehicle information |
JP3532492B2 (en) | 1999-06-25 | 2004-05-31 | 株式会社ザナヴィ・インフォマティクス | Road traffic information providing system, information providing device, and navigation device |
US6256577B1 (en) | 1999-09-17 | 2001-07-03 | Intel Corporation | Using predictive traffic modeling |
US6360165B1 (en) | 1999-10-21 | 2002-03-19 | Visteon Technologies, Llc | Method and apparatus for improving dead reckoning distance calculation in vehicle navigation system |
US6282496B1 (en) | 1999-10-29 | 2001-08-28 | Visteon Technologies, Llc | Method and apparatus for inertial guidance for an automobile navigation system |
US6335765B1 (en) | 1999-11-08 | 2002-01-01 | Weather Central, Inc. | Virtual presentation system and method |
US6253146B1 (en) | 1999-12-06 | 2001-06-26 | At&T Corp. | Network-based traffic congestion notification service |
JP3941312B2 (en) | 1999-12-24 | 2007-07-04 | 株式会社日立製作所 | Road traffic system and information processing method thereof |
US6353795B1 (en) | 2000-02-01 | 2002-03-05 | Infospace, Inc. | Method and system for matching an incident to a route |
US6317685B1 (en) | 2000-03-13 | 2001-11-13 | Navigation Technologies Corp. | Method and system for providing alternate routes with a navigation system |
DE60137660D1 (en) | 2000-03-17 | 2009-04-02 | Panasonic Corp | Map display and navigation device |
JP2001330451A (en) | 2000-03-17 | 2001-11-30 | Matsushita Electric Ind Co Ltd | Map display and automobile navigation system |
US6480783B1 (en) | 2000-03-17 | 2002-11-12 | Makor Issues And Rights Ltd. | Real time vehicle guidance and forecasting system under traffic jam conditions |
US6388612B1 (en) | 2000-03-26 | 2002-05-14 | Timothy J Neher | Global cellular position tracking device |
US6456935B1 (en) | 2000-03-28 | 2002-09-24 | Horizon Navigation, Inc. | Voice guidance intonation in a vehicle navigation system |
US6282486B1 (en) | 2000-04-03 | 2001-08-28 | International Business Machines Corporation | Distributed system and method for detecting traffic patterns |
US6731940B1 (en) | 2000-04-28 | 2004-05-04 | Trafficmaster Usa, Inc. | Methods of using wireless geolocation to customize content and delivery of information to wireless communication devices |
JP2001331893A (en) | 2000-05-22 | 2001-11-30 | Matsushita Electric Ind Co Ltd | Traffic violation warning and storing device |
US6317686B1 (en) | 2000-07-21 | 2001-11-13 | Bin Ran | Method of providing travel time |
US6292745B1 (en) | 2000-07-24 | 2001-09-18 | Navigation Technologies Corp. | Method and system for forming a database of geographic data for distribution to navigation system units |
US6675085B2 (en) | 2000-08-17 | 2004-01-06 | Michael P. Straub | Method and apparatus for storing, accessing, generating and using information about speed limits and speed traps |
US6556905B1 (en) | 2000-08-31 | 2003-04-29 | Lisa M. Mittelsteadt | Vehicle supervision and monitoring |
US6539302B1 (en) | 2000-09-06 | 2003-03-25 | Navigation Technologies Corporation | Method, system, and article of manufacture for providing notification of traffic conditions |
US6735516B1 (en) | 2000-09-06 | 2004-05-11 | Horizon Navigation, Inc. | Methods and apparatus for telephoning a destination in vehicle navigation |
AU2001295820A1 (en) | 2000-09-25 | 2002-04-02 | Transactions, Inc. | System and method to correlate and access related text with locations on an electronically displayed map |
US7135961B1 (en) | 2000-09-29 | 2006-11-14 | International Business Machines Corporation | Method and system for providing directions for driving |
US6424910B1 (en) | 2000-11-22 | 2002-07-23 | Navigation Technologies Corp. | Method and system for providing related navigation features for two or more end users |
US6603405B2 (en) | 2000-12-05 | 2003-08-05 | User-Centric Enterprises, Inc. | Vehicle-centric weather prediction system and method |
JP2002190091A (en) | 2000-12-20 | 2002-07-05 | Pioneer Electronic Corp | Traveling time setting method and device, method and device for calculating route using it |
US6456931B1 (en) | 2001-03-07 | 2002-09-24 | Visteon Technologies, Llc | Indicating directions to destination and intermediate locations in vehicle navigation systems |
US6542814B2 (en) | 2001-03-07 | 2003-04-01 | Horizon Navigation, Inc. | Methods and apparatus for dynamic point of interest display |
JP2002267467A (en) | 2001-03-09 | 2002-09-18 | Mitsubishi Electric Corp | Navigation system |
US6484092B2 (en) | 2001-03-28 | 2002-11-19 | Intel Corporation | Method and system for dynamic and interactive route finding |
US6584400B2 (en) | 2001-04-09 | 2003-06-24 | Louis J C Beardsworth | Schedule activated management system for optimizing aircraft arrivals at congested airports |
US6552656B2 (en) | 2001-04-12 | 2003-04-22 | Horizon Navigation, Inc. | Method and apparatus for generating notification of changed conditions behind a vehicle |
US6728605B2 (en) | 2001-05-16 | 2004-04-27 | Beacon Marine Security Limited | Vehicle speed monitoring system and method |
US6600994B1 (en) | 2001-05-17 | 2003-07-29 | Horizon Navigation, Inc. | Quick selection of destinations in an automobile navigation system |
US6560532B2 (en) | 2001-05-25 | 2003-05-06 | Regents Of The University Of California, The | Method and system for electronically determining dynamic traffic information |
US6594576B2 (en) | 2001-07-03 | 2003-07-15 | At Road, Inc. | Using location data to determine traffic information |
US6690294B1 (en) | 2001-07-10 | 2004-02-10 | William E. Zierden | System and method for detecting and identifying traffic law violators and issuing citations |
US6700503B2 (en) | 2001-08-06 | 2004-03-02 | Siemens Energy & Automation, Inc | Method of communicating conditions within a storage tank level |
EP1429115A4 (en) | 2001-08-10 | 2005-02-09 | Aisin Aw Co | Traffic information search method, traffic information search system, mobile body communication device, and network navigation center |
US6470268B1 (en) | 2001-08-14 | 2002-10-22 | Horizon Navigation, Inc. | Navigation destination entry via glyph to digital translation |
US20030035518A1 (en) | 2001-08-16 | 2003-02-20 | Fan Rodric C. | Voice interaction for location-relevant mobile resource management |
US20030046158A1 (en) | 2001-09-04 | 2003-03-06 | Kratky Jan Joseph | Method and system for enhancing mobile advertisement targeting with virtual roadside billboards |
US6650997B2 (en) | 2001-09-28 | 2003-11-18 | Robert Bosch Gmbh | System and method for interfacing mobile units using a cellphone |
US6473000B1 (en) | 2001-10-24 | 2002-10-29 | James Secreet | Method and apparatus for measuring and recording vehicle speed and for storing related data |
US6606557B2 (en) | 2001-12-07 | 2003-08-12 | Motorola, Inc. | Method for improving dispatch response time |
US6545637B1 (en) | 2001-12-20 | 2003-04-08 | Garmin, Ltd. | Systems and methods for a navigational device with improved route calculation capabilities |
US6901330B1 (en) | 2001-12-21 | 2005-05-31 | Garmin Ltd. | Navigation system, method and device with voice guidance |
US6999873B1 (en) | 2001-12-21 | 2006-02-14 | Garmin Ltd. | Navigation system, method and device with detour algorithm |
US6687615B1 (en) | 2001-12-21 | 2004-02-03 | Garmin Ltd. | Navigation system, method and device with detour algorithm |
US6728628B2 (en) | 2001-12-28 | 2004-04-27 | Trafficgauge, Inc. | Portable traffic information system |
US6983204B2 (en) | 2002-01-09 | 2006-01-03 | International Business Machines Corporation | Mapping travel routes |
US20030135304A1 (en) | 2002-01-11 | 2003-07-17 | Brian Sroub | System and method for managing transportation assets |
US6622086B2 (en) | 2002-02-11 | 2003-09-16 | Horizon Navigation, Inc. | Method of representing a location in a database for a vehicle navigation system |
US6989765B2 (en) | 2002-03-05 | 2006-01-24 | Triangle Software Llc | Personalized traveler information dissemination system |
US7221287B2 (en) | 2002-03-05 | 2007-05-22 | Triangle Software Llc | Three-dimensional traffic report |
US6681176B2 (en) | 2002-05-02 | 2004-01-20 | Robert Bosch Gmbh | Method and device for a detachable navigation system |
US20040049424A1 (en) | 2002-06-21 | 2004-03-11 | Murray Thomas A. | System and method for facilitating ridesharing |
US7103854B2 (en) | 2002-06-27 | 2006-09-05 | Tele Atlas North America, Inc. | System and method for associating text and graphical views of map information |
US20060122846A1 (en) | 2002-08-29 | 2006-06-08 | Jonathan Burr | Apparatus and method for providing traffic information |
US7116326B2 (en) | 2002-09-06 | 2006-10-03 | Traffic.Com, Inc. | Method of displaying traffic flow data representing traffic conditions |
US6807483B1 (en) | 2002-10-11 | 2004-10-19 | Televigation, Inc. | Method and system for prediction-based distributed navigation |
US6845316B2 (en) | 2002-10-14 | 2005-01-18 | Mytrafficnews.Com, Inc. | Distribution of traffic and transit information |
US20040080624A1 (en) | 2002-10-29 | 2004-04-29 | Yuen Siltex Peter | Universal dynamic video on demand surveillance system |
WO2004046985A1 (en) | 2002-11-15 | 2004-06-03 | Omron Corporation | Charging method in service providing system, service providing server, service providing program, recording medium containing the service providing program, terminal device, terminal processing program, and recording medium containing the terminal processing program |
US7835858B2 (en) | 2002-11-22 | 2010-11-16 | Traffic.Com, Inc. | Method of creating a virtual traffic network |
US7406543B2 (en) | 2002-11-29 | 2008-07-29 | Traffic.Com, Inc. | Remote radio spectrum information acquisition |
US9108107B2 (en) | 2002-12-10 | 2015-08-18 | Sony Computer Entertainment America Llc | Hosting and broadcasting virtual events using streaming interactive video |
KR101168423B1 (en) | 2003-02-05 | 2012-07-25 | 가부시키가이샤 자나비 인포메틱스 | Path search method of navigation apparatus and display method of traffic information |
EP1611416B1 (en) | 2003-02-26 | 2007-05-30 | TomTom International B.V. | Navigation device and method for displaying alternative routes |
JP4255007B2 (en) | 2003-04-11 | 2009-04-15 | 株式会社ザナヴィ・インフォマティクス | Navigation device and travel time calculation method thereof |
US6931309B2 (en) | 2003-05-06 | 2005-08-16 | Innosurance, Inc. | Motor vehicle operating data collection and analysis |
US7440842B1 (en) | 2003-05-09 | 2008-10-21 | Dimitri Vorona | System for transmitting, processing, receiving, and displaying traffic information |
ATE505775T1 (en) | 2003-05-15 | 2011-04-15 | Speedgauge Inc | SYSTEM AND METHOD FOR EVALUATION OF VEHICLE AND OPERATOR PERFORMANCE |
JP3994937B2 (en) | 2003-07-29 | 2007-10-24 | アイシン・エィ・ダブリュ株式会社 | Vehicle traffic information notification system and navigation system |
US7634352B2 (en) | 2003-09-05 | 2009-12-15 | Navteq North America, Llc | Method of displaying traffic flow conditions using a 3D system |
US7561966B2 (en) | 2003-12-17 | 2009-07-14 | Denso Corporation | Vehicle information display system |
DE50310628D1 (en) | 2003-12-19 | 2008-11-20 | Bayerische Motoren Werke Ag | EXPERIENCED |
US7511634B2 (en) | 2004-12-22 | 2009-03-31 | Htnb Corporation | Retrieving and presenting dynamic traffic information |
US7548197B2 (en) | 2005-06-20 | 2009-06-16 | At&T Intellectual Property I, L.P. | GPS parasite system |
US7885758B2 (en) * | 2005-06-30 | 2011-02-08 | Marvell World Trade Ltd. | GPS-based traffic monitoring system |
US7927216B2 (en) | 2005-09-15 | 2011-04-19 | Nintendo Co., Ltd. | Video game system with wireless modular handheld controller |
US7603138B2 (en) | 2005-08-22 | 2009-10-13 | Toshiba American Research, Inc. | Environmental monitoring using mobile devices and network information server |
JP4794957B2 (en) | 2005-09-14 | 2011-10-19 | 任天堂株式会社 | GAME PROGRAM, GAME DEVICE, GAME SYSTEM, AND GAME PROCESSING METHOD |
US7486201B2 (en) * | 2006-01-10 | 2009-02-03 | Myweather, Llc | Combined personalized traffic and weather report and alert system and method |
US8014936B2 (en) | 2006-03-03 | 2011-09-06 | Inrix, Inc. | Filtering road traffic condition data obtained from mobile data sources |
US7912628B2 (en) * | 2006-03-03 | 2011-03-22 | Inrix, Inc. | Determining road traffic conditions using data from multiple data sources |
US7912627B2 (en) | 2006-03-03 | 2011-03-22 | Inrix, Inc. | Obtaining road traffic condition data from mobile data sources |
JP4837405B2 (en) | 2006-03-09 | 2011-12-14 | 任天堂株式会社 | Coordinate calculation apparatus and coordinate calculation program |
JP5424373B2 (en) | 2006-03-09 | 2014-02-26 | 任天堂株式会社 | Image processing apparatus, image processing program, image processing system, and image processing method |
JP4798705B2 (en) | 2006-03-23 | 2011-10-19 | 任天堂株式会社 | POSITION CALCULATION DEVICE, POSITION CALCULATION PROGRAM, GAME DEVICE, AND GAME PROGRAM |
JP3990716B1 (en) | 2006-04-07 | 2007-10-17 | 富士重工業株式会社 | Vehicle display device |
US7558674B1 (en) | 2006-04-24 | 2009-07-07 | Wsi, Corporation | Weather severity and characterization system |
KR100796339B1 (en) * | 2006-05-13 | 2008-01-21 | 삼성전자주식회사 | Method and apparatus for providing traffic information using schedule registration information |
US7908076B2 (en) | 2006-08-18 | 2011-03-15 | Inrix, Inc. | Representative road traffic flow information based on historical data |
US8125448B2 (en) | 2006-10-06 | 2012-02-28 | Microsoft Corporation | Wearable computer pointing device |
US20080133120A1 (en) | 2006-11-30 | 2008-06-05 | Romanick Ian D | Method for determining and outputting travel instructions for most fuel-efficient route |
US20080255754A1 (en) | 2007-04-12 | 2008-10-16 | David Pinto | Traffic incidents processing system and method for sharing real time traffic information |
US8175802B2 (en) | 2007-06-28 | 2012-05-08 | Apple Inc. | Adaptive route guidance based on preferences |
US8190359B2 (en) | 2007-08-31 | 2012-05-29 | Proxpro, Inc. | Situation-aware personal information management for a mobile device |
US20090061971A1 (en) | 2007-08-31 | 2009-03-05 | Visual Sports Systems | Object Tracking Interface Device for Computers and Gaming Consoles |
US20110037619A1 (en) | 2009-08-11 | 2011-02-17 | On Time Systems, Inc. | Traffic Routing Using Intelligent Traffic Signals, GPS and Mobile Data Devices |
US8068974B2 (en) | 2007-09-10 | 2011-11-29 | GM Global Technology Operations LLC | Methods and systems for determining driver efficiency and operating modes in a hybrid vehicle |
DE102007045991A1 (en) | 2007-09-26 | 2009-04-02 | Siemens Ag | Method for determining consumption and / or emission values |
US8050862B2 (en) | 2007-10-30 | 2011-11-01 | GM Global Technology Operations LLC | Vehicular navigation system for recalling preset map views |
US9183744B2 (en) | 2008-01-29 | 2015-11-10 | Here Global B.V. | Method for providing images of traffic incidents |
US8881040B2 (en) | 2008-08-28 | 2014-11-04 | Georgetown University | System and method for detecting, collecting, analyzing, and communicating event-related information |
US8185297B2 (en) | 2008-10-15 | 2012-05-22 | Navteq NA LLC | Personalized traffic reports |
US8335647B2 (en) | 2008-12-04 | 2012-12-18 | Verizon Patent And Licensing Inc. | Navigation based on popular user-defined paths |
US8255151B2 (en) | 2008-12-09 | 2012-08-28 | Motorola Mobility Llc | Method and system for providing environmentally-optimized navigation routes |
GR1006698B (en) * | 2008-12-22 | 2010-02-05 | Method and system for the collection, processing and distribution of traffic data for optimizing routing in satellite navigation systems of vehicles. | |
US8364389B2 (en) | 2009-02-02 | 2013-01-29 | Apple Inc. | Systems and methods for integrating a portable electronic device with a bicycle |
US8619072B2 (en) | 2009-03-04 | 2013-12-31 | Triangle Software Llc | Controlling a three-dimensional virtual broadcast presentation |
US9046924B2 (en) | 2009-03-04 | 2015-06-02 | Pelmorex Canada Inc. | Gesture based interaction with traffic data |
US8982116B2 (en) | 2009-03-04 | 2015-03-17 | Pelmorex Canada Inc. | Touch screen based interaction with traffic data |
KR20110049548A (en) | 2009-11-05 | 2011-05-12 | 엘지전자 주식회사 | Navigation method of mobile terminal and apparatus thereof |
JP2012003408A (en) | 2010-06-15 | 2012-01-05 | Rohm Co Ltd | Drive recorder |
TW201227381A (en) | 2010-12-20 | 2012-07-01 | Ind Tech Res Inst | Real-time traffic situation awareness system and method |
WO2012159083A2 (en) | 2011-05-18 | 2012-11-22 | Triangle Software Llc | System for providing traffic data and driving efficiency data |
US8781718B2 (en) | 2012-01-27 | 2014-07-15 | Pelmorex Canada Inc. | Estimating time travel distributions on signalized arterials |
US8606508B2 (en) | 2012-02-09 | 2013-12-10 | Flightaware, Llc | System and method for sending air traffic data to users for display |
-
2011
- 2011-11-14 EP EP11839744.7A patent/EP2638493A4/en not_active Withdrawn
- 2011-11-14 US US13/296,108 patent/US8718910B2/en active Active
- 2011-11-14 CA CA2823827A patent/CA2823827C/en active Active
- 2011-11-14 WO PCT/US2011/060663 patent/WO2012065188A2/en active Application Filing
-
2014
- 2014-04-29 US US14/265,290 patent/US20140236464A1/en not_active Abandoned
Patent Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060074546A1 (en) * | 1999-04-19 | 2006-04-06 | Dekock Bruce W | System for providing traffic information |
US20050021225A1 (en) * | 2003-07-25 | 2005-01-27 | Christopher Kantarjiev | System and method for determining recommended departure time |
US20070142995A1 (en) * | 2003-12-11 | 2007-06-21 | Daimlerchrysler Ag | Adaptation of an automatic distance control to traffic users potentially merging into the lane thereof |
US20080021632A1 (en) * | 2004-06-25 | 2008-01-24 | Kouji Amano | Traffic Condition Report Device, System Thereof, Method Thereof, Program For Executing The Method, And Recording Medium Containing The Program |
US20100045517A1 (en) * | 2004-07-20 | 2010-02-25 | Global Precision Solutions, Llp | Precision GPS Driven Utility Asset Management and Utility Damage Prevention System and Method |
US20070009156A1 (en) * | 2005-04-15 | 2007-01-11 | O'hara Charles G | Linear correspondence assessment |
US20080014908A1 (en) * | 2006-07-17 | 2008-01-17 | Abraham Vasant | System and method for coordinating customized mobility services through a network |
US20090254272A1 (en) * | 2008-04-01 | 2009-10-08 | Hendrey Geoffrey R | Retrieval Of Vehicular Traffic Information Optimized For Wireless Mobile Environments |
US8024111B1 (en) * | 2008-04-02 | 2011-09-20 | Strategic Design Federation W, Inc. | Travel route system and method |
US20100036594A1 (en) * | 2008-08-11 | 2010-02-11 | Clarion Co., Ltd. | Method and apparatus for determining traffic data |
US20100100307A1 (en) * | 2008-10-10 | 2010-04-22 | Jin Hong Kim | Universal GPS Traffic Monitoring System |
US20110029189A1 (en) * | 2009-07-29 | 2011-02-03 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Promotional correlation with selective vehicle modes |
US20110288763A1 (en) * | 2010-05-18 | 2011-11-24 | Alpine Electronics, Inc. | Method and apparatus for displaying three-dimensional route guidance |
US20120226434A1 (en) * | 2011-03-04 | 2012-09-06 | Board of Regents, University of Arizona | Active traffic and demand management system |
Cited By (34)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9401088B2 (en) | 2002-03-05 | 2016-07-26 | Pelmorex Canada Inc. | Method for predicting a travel time for a traffic route |
US8958988B2 (en) | 2002-03-05 | 2015-02-17 | Pelmorex Canada Inc. | Method for choosing a traffic route |
US9640073B2 (en) | 2002-03-05 | 2017-05-02 | Pelmorex Canada Inc. | Generating visual information associated with traffic |
US9602977B2 (en) | 2002-03-05 | 2017-03-21 | Pelmorex Canada Inc. | GPS generated traffic information |
US9070291B2 (en) | 2002-03-05 | 2015-06-30 | Pelmorex Canada Inc. | Method for predicting a travel time for a traffic route |
US9082303B2 (en) | 2002-03-05 | 2015-07-14 | Pelmorex Canada Inc. | Generating visual information associated with traffic |
US9489842B2 (en) | 2002-03-05 | 2016-11-08 | Pelmorex Canada Inc. | Method for choosing a traffic route |
US9368029B2 (en) | 2002-03-05 | 2016-06-14 | Pelmorex Canada Inc. | GPS generated traffic information |
US9644982B2 (en) | 2003-07-25 | 2017-05-09 | Pelmorex Canada Inc. | System and method for delivering departure notifications |
US9127959B2 (en) | 2003-07-25 | 2015-09-08 | Pelmorex Canada Inc. | System and method for delivering departure notifications |
US9046924B2 (en) | 2009-03-04 | 2015-06-02 | Pelmorex Canada Inc. | Gesture based interaction with traffic data |
US9448690B2 (en) | 2009-03-04 | 2016-09-20 | Pelmorex Canada Inc. | Controlling a three-dimensional virtual broadcast presentation |
US10289264B2 (en) | 2009-03-04 | 2019-05-14 | Uber Technologies, Inc. | Controlling a three-dimensional virtual broadcast presentation |
US8982116B2 (en) | 2009-03-04 | 2015-03-17 | Pelmorex Canada Inc. | Touch screen based interaction with traffic data |
US9390620B2 (en) | 2011-05-18 | 2016-07-12 | Pelmorex Canada Inc. | System for providing traffic data and driving efficiency data |
US9547984B2 (en) | 2011-05-18 | 2017-01-17 | Pelmorex Canada Inc. | System for providing traffic data and driving efficiency data |
US9677893B2 (en) | 2011-12-28 | 2017-06-13 | Intelligent Technologies International, Inc. | Vehicular navigation system updating based on object presence/absence |
US10048076B2 (en) | 2011-12-28 | 2018-08-14 | Intelligent Technologies International, Inc. | On-board vehicular monitoring system |
US9518830B1 (en) | 2011-12-28 | 2016-12-13 | Intelligent Technologies International, Inc. | Vehicular navigation system updating based on object presence |
US9293039B2 (en) | 2012-01-27 | 2016-03-22 | Pelmorex Canada Inc. | Estimating time travel distributions on signalized arterials |
US10971000B2 (en) | 2012-10-18 | 2021-04-06 | Uber Technologies, Inc. | Estimating time travel distributions on signalized arterials |
US10223909B2 (en) | 2012-10-18 | 2019-03-05 | Uber Technologies, Inc. | Estimating time travel distributions on signalized arterials |
US20140297758A1 (en) * | 2013-03-26 | 2014-10-02 | Hewlett-Packard Development Company, L.P. | Event notifications based on learned traveling times between locations |
US20150088835A1 (en) * | 2013-09-24 | 2015-03-26 | At&T Intellectual Property I, L.P. | Facilitating determination of reliability of crowd sourced information |
US10346389B2 (en) * | 2013-09-24 | 2019-07-09 | At&T Intellectual Property I, L.P. | Facilitating determination of reliability of crowd sourced information |
US11468036B2 (en) * | 2013-09-24 | 2022-10-11 | At&T Intellectual Property I, L.P. | Facilitating determination of reliability of crowd sourced information |
US9372687B1 (en) * | 2015-05-29 | 2016-06-21 | Intuit Inc. | Product customization based on user contributions |
US11085784B2 (en) * | 2015-07-24 | 2021-08-10 | International Business Machines Corporation | Journey planning |
US10408631B2 (en) * | 2015-07-24 | 2019-09-10 | International Business Machines Corporation | Journey planning |
US10878696B2 (en) | 2018-09-27 | 2020-12-29 | Melodie Noel | Monitoring and reporting traffic information |
US10475338B1 (en) | 2018-09-27 | 2019-11-12 | Melodie Noel | Monitoring and reporting traffic information |
US11308799B2 (en) | 2018-09-27 | 2022-04-19 | Melodie Noel | Monitoring and reporting traffic information |
US11721209B2 (en) | 2018-09-27 | 2023-08-08 | Melodie Noel | Monitoring and reporting traffic information |
US11867528B2 (en) * | 2018-12-20 | 2024-01-09 | Here Global B.V. | Method, apparatus, and system for providing road closure graph inconsistency resolution |
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US8718910B2 (en) | 2014-05-06 |
US20120123667A1 (en) | 2012-05-17 |
WO2012065188A3 (en) | 2012-08-02 |
CA2823827C (en) | 2018-08-28 |
EP2638493A2 (en) | 2013-09-18 |
WO2012065188A2 (en) | 2012-05-18 |
EP2638493A4 (en) | 2017-12-13 |
CA2823827A1 (en) | 2012-05-18 |
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