CN106205125A - A kind of ambulance arrival time real-time estimate system and method - Google Patents
A kind of ambulance arrival time real-time estimate system and method Download PDFInfo
- Publication number
- CN106205125A CN106205125A CN201610599877.6A CN201610599877A CN106205125A CN 106205125 A CN106205125 A CN 106205125A CN 201610599877 A CN201610599877 A CN 201610599877A CN 106205125 A CN106205125 A CN 106205125A
- Authority
- CN
- China
- Prior art keywords
- time
- road
- ambulance
- cpu
- arrival
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
Abstract
The invention discloses a kind of ambulance arrival time real-time estimate system and method, including communication server, location terminal, monitoring road conditions module, Message Display Terminal；Described communication server includes data storage cell, CPU, time collecting unit, navigation elements；Described navigation elements obtains the traffic route arriving at this hospital from Baidu's map；Described monitoring road conditions module includes road condition acquiring unit and vehicle Flow Detection unit；Described vehicle Flow Detection unit includes infrared sensor sum counter；The present invention adds monitoring road conditions module in ambulance real-time estimate system, by the infrared sensor measuring and calculating to jam road vehicle flowrate, it is added in ambulance real-time estimate system into road conditions factor, make ambulance real-time estimate system more accurate, avoiding because ambulance runs into the inaccurate factor of predicted time blocking up road conditions and cause, the rescue service for patient provides safeguard.
Description
Technical field
The invention belongs to the ambulance Predicting Technique time of advent, particularly relate to a kind of ambulance arrival time real-time estimate
System and method.
Background technology
The vehicle arrival time is predicted as the informationalized key technology of traffic system, receives the pole of domestic and international research worker
Big concern.As is known in the art, the Predicting Technique of vehicle time of advent mainly includes temporal data model, prediction mould
Type, artificial nerve network model and kalman filter models etc..
Time of advent of based on historical data, forecast model was based on a large amount of historical datas, it is assumed that travel pattern has and follows
The rule of ring change, in specific road section, history journey time is consistent with current journey time.The principle of this model is very
Simply, intuitively, easy to operate, therefore the electronic stop plate display time prediction of most cities is to carry out based on this mode at present.
Historical location data interval since prediction algorithm based on historical data is relatively big and precision is the highest, is only intended to suburb vehicle dilute
Situation about dredging, is not suitable for the traffic that big city is complicated.
Summary of the invention
It is an object of the invention to provide a kind of ambulance arrival time real-time estimate system and method, real-time in ambulance
Adding monitoring road conditions module in prognoses system, the rescue service for patient provides safeguard.
The present invention is achieved by the following technical solutions:
A kind of ambulance arrival time real-time estimate system, including communication server, location terminal, monitoring road conditions module,
Message Display Terminal；
Described communication server includes data storage cell, CPU, time collecting unit, navigation elements；
Described navigation elements obtains the traffic route arriving at this hospital from Baidu's map, and wherein, described traffic route includes
The driving section title through one or more sections；
Described location terminal includes GPS positioner and location information transmitting unit；
Described monitoring road conditions module includes road condition acquiring unit and vehicle Flow Detection unit；
Described road condition acquiring unit gathers the traffic information of certain section of road ambulance traffic route from the Internet and judges
Whether this section of road be for road conditions of blocking up；
Described vehicle Flow Detection unit includes that infrared sensor sum counter, vehicle Flow Detection unit are one or more,
Described vehicle Flow Detection unit is arranged at above the traffic light of one or more crossroad；
Described infrared sensor passes through infrared scan identification vehicle, when a vehicle is by Through Lane crossing, described red
Outer sensor sends count signal increases by one to enumerator, described enumerator by the vehicle passed through.
Further, in described data storage cell, storage has multiple sections title and road section length, each described section
Title associates with a road section length.
Further, described time collecting unit gathers current time from the Internet.
Further, described information display unit is the display screen being arranged in hospital.
Further, a kind of ambulance real-time predicting method time of advent, the method includes:
After S1, location terminal start, every 15s transmission location information to CPU, wherein, location information includes
The ambulance current location of GPS positioner acquisition and current vehicle speed；
S2, CPU send ambulance current location to navigation elements, and it is concurrent that navigation elements obtains traffic route
Deliver to CPU；
S3, CPU obtain the section title in one or more sections in this traffic route and transfer and this section
The road section length that title is associated, CPU calculates standard arrival time T0；
Road information is sent to road condition acquiring unit by S4, CPU；
S5, road condition acquiring unit gather the traffic information of this section of road and determine whether road conditions of blocking up, if it is, will
The traffic information of this section of road sends to vehicle Flow Detection unit, and vehicle Flow Detection unit starts by the vehicle of this section of road
Carry out counting and count information being sent to CPU, otherwise, destroy the traffic information of this section of road；
After S6, CPU receive count information, calculate congestion in road according to the unit interval by vehicle and add
Time；
S7, CPU judge whether that the road section information of every section of road is all sent completely, if it is, perform S8,
Otherwise return S4；
S8, CPU calculate the Actual Time Of Arrival/Block T of ambulance, if receiving meter according to whether receive count information
Number information, then Actual Time Of Arrival/Block T adds one or more congestion in road additional periods T equal to Actual Time Of Arrival/Block T, if not receiving
To count information, then Actual Time Of Arrival/Block T is equal to Actual Time Of Arrival/Block T；
CPU transfers current time from time collecting unit, and calculates the prediction time of advent of ambulance,
Actual Time Of Arrival/Block T is sent to Message Display Terminal by CPU.
Further, described standard arrival time T0When not running into the traveling that road conditions of blocking up arrive at hospital for ambulance
Between, described standard arrival time T0Equal to a road section length divided by current speed per hour or multiple road section length sum divided by time current
Speed.
Further, described congestion in road additional period computing formula is:
Congestion in road additional period T=
Basis blocks up time T0+ (unit interval passes through vehicle standard value A0-the unit interval passes through vehicle actual value A) * 2
Unit is min.
Further, described prediction adds Actual Time Of Arrival/Block T equal to current time the time of advent.
The method have the advantages that
The present invention adds monitoring road conditions module in ambulance real-time estimate system, by infrared sensor to jam road
The measuring and calculating of vehicle flowrate, is added to into road conditions factor in ambulance real-time estimate system so that ambulance real-time estimate system is more
Add accurately, it is to avoid because ambulance runs into the inaccurate factor of predicted time blocking up road conditions and cause, for the first aid work of patient
Provide safeguard.
Certainly, the arbitrary product implementing the present invention it is not absolutely required to reach all the above advantage simultaneously.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, embodiment will be described required use below
Accompanying drawing is briefly described, it should be apparent that, the accompanying drawing in describing below is only some embodiments of the present invention, for ability
From the point of view of the those of ordinary skill of territory, on the premise of not paying creative work, it is also possible to obtain the attached of other according to these accompanying drawings
Figure.
The system schematic that Fig. 1 provides for the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on
Embodiment in the present invention, those of ordinary skill in the art obtained under not making creative work premise all other
Embodiment, broadly falls into the scope of protection of the invention.
As it is shown in figure 1, the embodiment of the present invention provides a kind of ambulance arrival time real-time estimate system, it includes communication garment
Business device 1, location terminal 2, monitoring road conditions module 3, Message Display Terminal 4；
Communication server 1 is installed in hospital, and communication server 1 includes data storage cell 101, CPU
102, time collecting unit 103, navigation elements 104；
In data storage cell 101, storage has multiple sections title and road section length, each section title and a section
Length associates；
Time collecting unit 103 gathers current time from the Internet；
Navigation elements 104 obtains the traffic route arriving at this hospital from Baidu's map, and wherein, traffic route includes warp of driving a vehicle
Cross the section title in one or more section；
Location terminal 2 includes GPS positioner 201 and location information transmitting unit 202；
Monitoring road conditions module 3 includes road condition acquiring unit 301 and vehicle Flow Detection unit 302；
Road condition acquiring unit 301 gathers the traffic information of certain section of road ambulance traffic route and judges to be somebody's turn to do from the Internet
Whether Duan Daolu is for road conditions of blocking up；
Vehicle Flow Detection unit 302 includes that infrared sensor 303 sum counter 304, vehicle Flow Detection unit 302 are one
Or multiple, vehicle Flow Detection unit 302 is arranged at the traffic light of one or more crossroads of bus route process
Top；
Vehicle Flow Detection unit 302 is arranged at above the traffic light of crossroad, and infrared sensor 303 is by infrared
Scanning recognition vehicle, when a vehicle is by Through Lane crossing, infrared sensor 303 sends count signal to enumerator 304,
The vehicle passed through is increased by one by enumerator 304；
Information display unit 4 is the display screen being arranged in hospital；
A kind of ambulance real-time predicting method time of advent, the method includes:
After S1, location terminal 2 start, every 15s transmission location information to CPU 102, wherein, position information
The ambulance current location obtained including GPS positioner 201 and current vehicle speed；
It should be noted that after receiving patient, location terminal 2 has ambulance driver or starts with car medical personnel；
S2, CPU 102 send ambulance current location and obtain driving to navigation elements 104, navigation elements 104
Route also sends to CPU 102；
S3, CPU 102 obtain the section title in one or more sections in this traffic route and transfer and be somebody's turn to do
The road section length that section title is associated, CPU 102 calculates standard arrival time T0, standard arrival time T0For rescuing
Protect car not run into road conditions of blocking up and arrive at the running time of hospital, standard arrival time T0Equal to a road section length divided by currently
Speed per hour or multiple road section length sum are divided by current speed per hour；
It is preferred that include x road, y road and z road between ambulance traffic route, a length of 2km in x road, a length of 3km in y road, z road is long
For 3km, the current speed per hour of ambulance is 40km/h, standard arrival time T0For 12min；
Road information is sent to road condition acquiring unit 301 by S4, CPU 102；
S5, road condition acquiring unit 301 gather the traffic information of this section of road and determine whether road conditions of blocking up, if it is,
Then sending the traffic information of this section of road to vehicle Flow Detection unit 302, vehicle Flow Detection unit 302 starts by this section
The vehicle of road carries out counting and being sent to by count information CPU 102, otherwise, destroys the road conditions letter of this section of road
Breath；
After S6, CPU 102 receive count information, calculate congestion in road according to the unit interval by vehicle attached
Adding the time, described congestion in road additional period computing formula is:
Congestion in road additional period T=
Basis blocks up time T0+ (unit interval passes through vehicle standard value A0-the unit interval passes through vehicle actual value A) * 2
Unit is min；
The time T it is preferred that described basis blocks up0For 20min, the unit interval is 10min, and the unit interval passes through vehicle standard
Value A0Being 20, when being 20 by the vehicle of certain section of crossroad Through Lane in 10min, congestion in road now is attached
Add time T to block up time T equal to basis0For often reducing a car, described road by vehicle in 20min, unit interval 10min
Additional period T of blocking up increases 2min, when being more than 20 by the vehicle of this section of crossroad Through Lane in 10min, and institute
State congestion in road additional period T and remain 20min.
S7, CPU 102 judge whether that the road section information of every section of road is all sent completely, if it is, perform
S8, otherwise returns S4；
S8, CPU 102 calculate the Actual Time Of Arrival/Block T of ambulance according to whether receive count information, if receiving
To count information, then Actual Time Of Arrival/Block T adds one or more congestion in road additional periods T equal to Actual Time Of Arrival/Block T, if
Do not receive count information, then Actual Time Of Arrival/Block T is equal to Actual Time Of Arrival/Block T；
CPU 102 transfers current time from time collecting unit 103, and the prediction calculating ambulance arrives
Time, it was predicted that the time of advent, CPU 102 was by Actual Time Of Arrival/Block T equal to current time plus Actual Time Of Arrival/Block T
Send to Message Display Terminal 4；
Repeat step S1-S8, until location terminal 2 is closed.
Above content is only citing made for the present invention and explanation, and affiliated those skilled in the art are to being retouched
The specific embodiment stated makes various amendment or supplements or use similar mode to substitute, without departing from inventing or super
More scope defined in the claims, all should belong to protection scope of the present invention.
Claims (8)
1. an ambulance arrival time real-time estimate system, it is characterised in that include communication server (1), location terminal
(2), monitoring road conditions module (3), Message Display Terminal (4)；
Described communication server (1) includes data storage cell (101), CPU (102), time collecting unit
(103), navigation elements (104)；
Described navigation elements (104) obtains the traffic route arriving at this hospital from Baidu's map, and wherein, described traffic route includes
The driving section title through one or more sections；
Described location terminal (2) includes GPS positioner (201) and location information transmitting unit (202)；
Described monitoring road conditions module (3) includes road condition acquiring unit (301) and vehicle Flow Detection unit (302)；
Described road condition acquiring unit (301) gathers the traffic information of certain section of road ambulance traffic route from the Internet and judges
Whether this section of road be for road conditions of blocking up；
Described vehicle Flow Detection unit (302) includes infrared sensor (303) sum counter (304), vehicle Flow Detection unit
(302) being one or more, described vehicle Flow Detection unit (302) is arranged at the traffic light of one or more crossroad
Top；
Described infrared sensor (303) passes through infrared scan identification vehicle, when a vehicle is by Through Lane crossing, described red
Outer sensor (303) sends count signal increases by one to enumerator (304), described enumerator (304) by the vehicle passed through.
A kind of ambulance arrival time real-time estimate system the most according to claim 1, it is characterised in that: described data are deposited
In storage unit (101), storage has multiple sections title and road section length, each described section title to associate with a road section length.
A kind of ambulance arrival time real-time estimate system the most according to claim 1, it is characterised in that: the described time adopts
Collection unit (103) gathers current time from the Internet.
A kind of ambulance arrival time real-time estimate system the most according to claim 1, it is characterised in that: described information shows
Show that unit (4) is the display screen being arranged in hospital.
5. the ambulance real-time predicting method time of advent described in a claim 1, it is characterised in that the method includes:
After S1, location terminal (2) start, every 15s transmission location information to CPU (102), wherein, position information
The ambulance current location obtained including GPS positioner (201) and current vehicle speed；
S2, CPU (102) send ambulance current location to navigation elements (104), and navigation elements (104) obtains row
Bus or train route line also sends to CPU (102)；
S3, CPU (102) obtain the section title in one or more sections in this traffic route and transfer and this road
The road section length that name section is associated, CPU (102) calculates standard arrival time T0；
Road information is sent to road condition acquiring unit (301) by S4, CPU (102)；
S5, road condition acquiring unit (301) gather the traffic information of this section of road and determine whether road conditions of blocking up, if it is,
Sending the traffic information of this section of road to vehicle Flow Detection unit (302), vehicle Flow Detection unit (302) starts by being somebody's turn to do
The vehicle of Duan Daolu carries out counting and being sent to by count information CPU (102), otherwise, destroys the road of this section of road
Condition information；
After S6, CPU (102) receive count information, calculate congestion in road according to the unit interval by vehicle and add
Time；
S7, CPU (102) judge whether that the road section information of every section of road is all sent completely, if it is, perform S8,
Otherwise return S4；
S8, CPU (102) calculate the Actual Time Of Arrival/Block T of ambulance, if receiving according to whether receive count information
Count information, then Actual Time Of Arrival/Block T adds one or more congestion in road additional periods T equal to Actual Time Of Arrival/Block T, if not
Receive count information, then Actual Time Of Arrival/Block T is equal to Actual Time Of Arrival/Block T；
CPU (102) transfers current time from time collecting unit (103), and the prediction calculating ambulance arrives
Time, Actual Time Of Arrival/Block T is sent to Message Display Terminal (4) by CPU (102).
A kind of ambulance arrival time real-time predicting method the most according to claim 5, it is characterised in that: described standard is supported
Reach time T0Do not run into road conditions of blocking up for ambulance and arrive at the running time of hospital, described standard arrival time T0Equal to one
Road section length divided by current speed per hour or multiple road section length sum divided by current speed per hour.
A kind of ambulance arrival time real-time predicting method the most according to claim 5, it is characterised in that: described road is gathered around
Stifled additional period computing formula is:
Congestion in road additional period T=
Basis blocks up time T0+ (unit interval passes through vehicle standard value A0-the unit interval is by vehicle actual value A) * 2 units are
min。
A kind of ambulance arrival time real-time predicting method the most according to claim 5, it is characterised in that predict described in:
The time that reaches adds Actual Time Of Arrival/Block T equal to current time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610599877.6A CN106205125A (en) | 2016-07-27 | 2016-07-27 | A kind of ambulance arrival time real-time estimate system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610599877.6A CN106205125A (en) | 2016-07-27 | 2016-07-27 | A kind of ambulance arrival time real-time estimate system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106205125A true CN106205125A (en) | 2016-12-07 |
Family
ID=57496028
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610599877.6A Pending CN106205125A (en) | 2016-07-27 | 2016-07-27 | A kind of ambulance arrival time real-time estimate system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106205125A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106971578A (en) * | 2017-03-24 | 2017-07-21 | 东华大学 | The real-time estimating system of time of vehicle operation based on vehicular ad hoc network |
| CN108288391A (en) * | 2018-01-31 | 2018-07-17 | 四川驿停车智慧科技有限公司 | A kind of parking exit vehicle flowrate early warning system |
| CN109743549A (en) * | 2018-12-29 | 2019-05-10 | 北京辰安科技股份有限公司 | Front video acquiring method, device and breakdown lorry based on Internet map |
| CN110444009A (en) * | 2018-05-02 | 2019-11-12 | 芝麻开门网络信息股份有限公司 | A kind of expressway wagon flow forecasting system based on Internet of Things |
| CN110782648A (en) * | 2018-12-03 | 2020-02-11 | 北京嘀嘀无限科技发展有限公司 | System and method for determining estimated time of arrival |
| CN112036645A (en) * | 2017-04-27 | 2020-12-04 | 北京嘀嘀无限科技发展有限公司 | System and method for determining estimated time of arrival |
| CN112288112A (en) * | 2020-10-29 | 2021-01-29 | 上海擎感智能科技有限公司 | Method and device for reserving vehicle and computer storage medium |
| CN116153049A (en) * | 2023-04-04 | 2023-05-23 | 四川互慧软件有限公司 | Ambulance arrival time prediction method based on image processing |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6862521B1 (en) * | 2003-01-29 | 2005-03-01 | Trimble Navigation Limited | Method for inferring useful information from position-related vehicular events |
| CN1611917A (en) * | 2003-10-28 | 2005-05-04 | 日本先锋公司 | Device, system and method for reporting a traffic condition and program and recording medium |
| CN1661645A (en) * | 2004-02-27 | 2005-08-31 | 株式会社日立制作所 | Traffic information prediction apparatus |
| CN102201164A (en) * | 2010-03-23 | 2011-09-28 | 江苏云联科技有限公司 | Self-adapting quick response system for urban traffic congestion |
| CN102819954A (en) * | 2012-08-28 | 2012-12-12 | 南京大学 | Traffic region dynamic map monitoring and predicating system |
| CN102903034A (en) * | 2012-10-12 | 2013-01-30 | 重庆亚德科技股份有限公司 | Movable android emergency task system with vehicle-mounted tablet personal computer of medical emergency center |
| US20140070961A1 (en) * | 2012-09-07 | 2014-03-13 | Siemens Industry, Inc. | Apparatus and method for electronically disseminating information to street traffic |
| CN103903468A (en) * | 2012-12-25 | 2014-07-02 | 上海博泰悦臻电子设备制造有限公司 | Time early-warning method for traffic jam and device thereof |
| US20140324327A1 (en) * | 2013-04-24 | 2014-10-30 | University Of Washington Through Its Center For Commercialization | Methods and systems for providing geotemporal graphs |
| CN104767802A (en) * | 2015-03-27 | 2015-07-08 | 贾健明 | Pre-hospital emergency medical aid emergency help integration system and application thereof |
| CN205354300U (en) * | 2016-01-13 | 2016-06-29 | 陈牧锋 | Pre -hospital care early warning system |
| CN105741594A (en) * | 2012-05-07 | 2016-07-06 | 联想(北京)有限公司 | Method, system and electronic device for determining vehicle driving time |
| CN105788322A (en) * | 2016-04-29 | 2016-07-20 | 宇龙计算机通信科技(深圳)有限公司 | Special vehicle passing method based on vehicle networking and system thereof |
-
2016
- 2016-07-27 CN CN201610599877.6A patent/CN106205125A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6862521B1 (en) * | 2003-01-29 | 2005-03-01 | Trimble Navigation Limited | Method for inferring useful information from position-related vehicular events |
| CN1611917A (en) * | 2003-10-28 | 2005-05-04 | 日本先锋公司 | Device, system and method for reporting a traffic condition and program and recording medium |
| CN1661645A (en) * | 2004-02-27 | 2005-08-31 | 株式会社日立制作所 | Traffic information prediction apparatus |
| US20050206534A1 (en) * | 2004-02-27 | 2005-09-22 | Hitachi, Ltd. | Traffic information prediction apparatus |
| CN102201164A (en) * | 2010-03-23 | 2011-09-28 | 江苏云联科技有限公司 | Self-adapting quick response system for urban traffic congestion |
| CN105741594A (en) * | 2012-05-07 | 2016-07-06 | 联想(北京)有限公司 | Method, system and electronic device for determining vehicle driving time |
| CN102819954A (en) * | 2012-08-28 | 2012-12-12 | 南京大学 | Traffic region dynamic map monitoring and predicating system |
| US20140070961A1 (en) * | 2012-09-07 | 2014-03-13 | Siemens Industry, Inc. | Apparatus and method for electronically disseminating information to street traffic |
| CN102903034A (en) * | 2012-10-12 | 2013-01-30 | 重庆亚德科技股份有限公司 | Movable android emergency task system with vehicle-mounted tablet personal computer of medical emergency center |
| CN103903468A (en) * | 2012-12-25 | 2014-07-02 | 上海博泰悦臻电子设备制造有限公司 | Time early-warning method for traffic jam and device thereof |
| US20140324327A1 (en) * | 2013-04-24 | 2014-10-30 | University Of Washington Through Its Center For Commercialization | Methods and systems for providing geotemporal graphs |
| CN104767802A (en) * | 2015-03-27 | 2015-07-08 | 贾健明 | Pre-hospital emergency medical aid emergency help integration system and application thereof |
| CN205354300U (en) * | 2016-01-13 | 2016-06-29 | 陈牧锋 | Pre -hospital care early warning system |
| CN105788322A (en) * | 2016-04-29 | 2016-07-20 | 宇龙计算机通信科技(深圳)有限公司 | Special vehicle passing method based on vehicle networking and system thereof |
Non-Patent Citations (1)
| Title |
|---|
| RJ FLEISCHMAN: "Predicting ambulance time arrival to the emergency department using global positioning system and Google maps", 《PREHOSPITAL EMERGENCY CARE》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106971578A (en) * | 2017-03-24 | 2017-07-21 | 东华大学 | The real-time estimating system of time of vehicle operation based on vehicular ad hoc network |
| CN106971578B (en) * | 2017-03-24 | 2019-11-08 | 东华大学 | Time of vehicle operation real-time estimation system based on vehicular ad hoc network |
| CN112036645A (en) * | 2017-04-27 | 2020-12-04 | 北京嘀嘀无限科技发展有限公司 | System and method for determining estimated time of arrival |
| CN112036645B (en) * | 2017-04-27 | 2024-04-26 | 北京嘀嘀无限科技发展有限公司 | System and method for determining estimated time of arrival |
| CN108288391A (en) * | 2018-01-31 | 2018-07-17 | 四川驿停车智慧科技有限公司 | A kind of parking exit vehicle flowrate early warning system |
| CN110444009A (en) * | 2018-05-02 | 2019-11-12 | 芝麻开门网络信息股份有限公司 | A kind of expressway wagon flow forecasting system based on Internet of Things |
| CN110782648A (en) * | 2018-12-03 | 2020-02-11 | 北京嘀嘀无限科技发展有限公司 | System and method for determining estimated time of arrival |
| CN110782648B (en) * | 2018-12-03 | 2022-02-18 | 北京嘀嘀无限科技发展有限公司 | System and method for determining estimated time of arrival |
| CN109743549A (en) * | 2018-12-29 | 2019-05-10 | 北京辰安科技股份有限公司 | Front video acquiring method, device and breakdown lorry based on Internet map |
| CN112288112A (en) * | 2020-10-29 | 2021-01-29 | 上海擎感智能科技有限公司 | Method and device for reserving vehicle and computer storage medium |
| CN116153049A (en) * | 2023-04-04 | 2023-05-23 | 四川互慧软件有限公司 | Ambulance arrival time prediction method based on image processing |
| CN116153049B (en) * | 2023-04-04 | 2023-06-27 | 四川互慧软件有限公司 | Ambulance arrival time prediction method based on image processing |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106205125A (en) | A kind of ambulance arrival time real-time estimate system and method | |
| CN102184641B (en) | Running information based road condition management method and system | |
| CN101739824B (en) | Data fusion technology-based traffic condition estimation method | |
| CN106228830A (en) | A kind of bus arrival time real-time estimate system and method | |
| US8914226B2 (en) | Traffic information creating device, traffic information creating method and program | |
| CN104715610B (en) | A kind of traffic index computational methods towards urban transportation | |
| CN113870570B (en) | ETC-based road network operation state method, system and storage medium | |
| US20140288810A1 (en) | System and method for determining arterial roadway throughput | |
| US20200193194A1 (en) | Methods and systems for roadwork zone identification | |
| CN107248304A (en) | Urban transportation guidance method and its guidance system | |
| CN104299415A (en) | Distributed traffic state detection system and method based on Bluetooth technology | |
| US20200020232A1 (en) | Method, apparatus, and computer program product for evaluating public transportation use | |
| CN106601005B (en) | A kind of municipal intelligent traffic abductive approach based on RFID and wechat platform | |
| CN104424812A (en) | Bus arrival time prediction system and method | |
| CN107818426A (en) | A kind of method and apparatus for counting bus operation order of classes or grades at school | |
| CN102930718A (en) | Intermittent flow path section travel time estimation method based on floating car data and coil flow fusion | |
| CN103903468A (en) | Time early-warning method for traffic jam and device thereof | |
| CN103253189A (en) | Vehicle maintenance reminding method based on Cloud service and vehicle-mounted terminal device thereof | |
| CN103177585A (en) | Road turning average travel speed calculating method based on floating car data | |
| CN105828433A (en) | Tunnel positioning system and method based on ZigBee | |
| CN107085620A (en) | A kind of taxi and subway are plugged into the querying method and system of travel route | |
| Habtie et al. | Artificial neural network based real-time urban road traffic state estimation framework | |
| CN109584560A (en) | A kind of traffic control adjusting method and system based on freeway traffic detection | |
| CN109493628A (en) | A kind of clandestine network system for highway condition monitoring | |
| CN109754606A (en) | A method of based on taxi location prediction congestion in road situation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161207 |
|
| RJ01 | Rejection of invention patent application after publication |