CN112907960B - Traffic jam monitoring devices based on big data - Google Patents
Traffic jam monitoring devices based on big data Download PDFInfo
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- CN112907960B CN112907960B CN202110130481.8A CN202110130481A CN112907960B CN 112907960 B CN112907960 B CN 112907960B CN 202110130481 A CN202110130481 A CN 202110130481A CN 112907960 B CN112907960 B CN 112907960B
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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
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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
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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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
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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Abstract
The invention discloses a traffic jam monitoring device based on big data, and relates to the technical field of road traffic monitoring. The device comprises traffic flow monitoring equipment and a data processing server, wherein the traffic flow monitoring equipment monitors traffic flow of a road and collects license plate information, the data processing server determines a running track of a vehicle according to the license plate information and analyzes the running track to obtain a running rule, and the running rule comprises a destination. When traffic jam occurs, the traffic flow monitoring equipment generates an optimal route according to the current position and the destination of the vehicle under the control of the data processing server, and displays the brief information and the license plate information of the optimal route to remind a driver of selecting a correct route to avoid the jam. The device can monitor the traffic state in real time, and guide the vehicle to shunt in the first time when congestion occurs, so that the information is transmitted in time, the congestion is prevented from being further aggravated, and the congestion can be quickly eliminated with the help of other dredging measures.
Description
Technical Field
The invention relates to the technical field of road traffic monitoring, in particular to a traffic jam monitoring device based on big data.
Background
Modern people almost have no way to leave various transportation means when going out, and the transportation means are all participants of road traffic, no matter private cars, buses, taxies, bicycles, motorcycles and the like, and the operation of the transportation means provides great convenience for the life of people. However, with the annual rise of various vehicles, especially private car reserves, traffic congestion has become a normal state in some middle and large cities. Especially for office workers, the time of traffic jam at the peak of going to work is even longer than the time of single whole journey under the unblocked state, so that the convenient traffic environment can not play all roles.
There are many reasons for traffic congestion, but the main reason is that traffic flow of some trunk roads is too large, which causes serious traffic jam on the roads, and further affects normal traffic of some intersections or adjacent roads. Although some experienced drivers can predict which roads or intersections are relatively congested at what time, in view of the fact that congestion influence areas are relatively large, the drivers cannot know a specific congestion range in each driving process, and therefore cannot select correct and not too congested routes, or cannot measure time cost of congested roads and time cost of changing other routes, and the situation that the drivers cannot make accurate judgment although they want to avoid congestion is caused.
For traffic jam, some solutions are also proposed by transportation authorities, including traffic police dispersion, broadcast notification and the like, but these methods have certain hysteresis, and can only be temporarily alleviated, and advance discovery and vehicle diversion cannot be achieved. Therefore, there is a need for a device with traffic congestion monitoring and guidance functions.
Disclosure of Invention
The embodiment of the invention provides a traffic jam monitoring device based on big data, which can solve the problems in the prior art.
The invention provides a traffic jam monitoring device based on big data, which comprises a plurality of traffic flow monitoring devices and a data processing server, wherein the traffic flow monitoring devices are respectively arranged at each position of a road;
the traffic flow monitoring equipment identifies license plate information of vehicles on the road, and sends the license plate information and the current time to the data processing server, the data processing server determines the position of each license plate when being recorded according to the geographic position of the traffic flow monitoring equipment, and then all the recorded positions of the same license plate are connected according to the time sequence to form a driving track of one vehicle; after a plurality of driving tracks are accumulated, the data processing server analyzes the driving tracks to obtain big data of a driving rule of the vehicle, including a travel destination; after the driving rule is obtained, the data processing server sends the vehicle driving destination information to the related traffic flow monitoring equipment according to the driving rule data;
after the vehicle flow monitoring equipment acquires the license plate information each time, determining whether traffic jam occurs or not by identifying the number of the acquired license plates, if so, sending alarm information to a data processing server by the vehicle flow monitoring equipment, and sending guiding starting information to the vehicle flow monitoring equipment on the intersection or the road adjacent to the intersection or the road where the vehicle flow monitoring equipment is located or the road by the data processing server in response to the alarm information;
the traffic flow monitoring equipment which receives the guiding starting information determines a corresponding destination according to the license plate information, plans an optimal route which bypasses the congested road according to the current position, extracts the names of a plurality of roads or intersections which are closest to the current position in the optimal route, and combines the extracted road or intersection names and the license plate information into guiding information, and the traffic flow monitoring equipment outputs the guiding information to a display screen to carry out shunting guiding on the vehicle.
Preferably, the traffic flow monitoring device includes a plurality of sub-devices, each of which collects license plate information and uploads the license plate information to the data processing server, and performs optimal route planning and vehicle diversion guidance in response to the guidance starting information.
Preferably, a plurality of sub-devices in the traffic flow monitoring device are divided into a master device and a plurality of slave devices, and the master device is configured to collect data collected by itself and other slave devices, upload the data to the data processing server, receive the data sent by the data processing server, and store or distribute the received data to the slave devices.
Preferably, the hardware configuration of the master device and the slave device is the same.
Preferably, the hardware configuration of the master device is higher than that of the slave device, the master device is provided with a display screen, the slave device plans and extracts road or intersection information in the optimal route and then sends the information to the master device, and the master device displays guiding information.
Preferably, the sub-apparatus includes a main body, a display screen and a mounting member, the display screen and the mounting member are respectively installed on a top surface and a bottom surface of the main body, the mounting member is used to install the main body on a monitoring rod on a road, and the display screen is used to display guidance information output by the main body.
Preferably, the travel rule data further includes travel time and passing intersection information;
after the data processing server obtains the driving rule data of each vehicle, intersection information which is possibly passed by the vehicle with the travel time being the current time is extracted regularly, traffic flow monitoring equipment installed on the passing intersection and a road or an intersection adjacent to the passing intersection is inquired, and destination information of the vehicle is sent to the inquired traffic flow monitoring equipment.
Preferably, the method for determining whether traffic jam occurs by the vehicle flow monitoring device is as follows:
and determining real-time traffic flow through the number of the license plates obtained through recognition, and determining that traffic jam occurs by the traffic flow monitoring equipment when the traffic flow exceeds a warning value.
Preferably, the traffic flow monitoring device uploads the acquired license plate information and the current time to the data processing server while displaying the guidance information, so that the data processing server updates the driving rule data.
The traffic jam monitoring device based on the big data comprises traffic flow monitoring equipment and a data processing server, wherein the traffic flow monitoring equipment is used for monitoring real-time traffic flow of a road and collecting license plate information of vehicles on the road, and the data processing server analyzes and obtains a driving rule after determining a driving track of the vehicles according to the license plate information, wherein the driving rule comprises a destination. When traffic jam occurs, the data processing server controls the traffic flow monitoring equipment to start traffic flow guidance, the traffic flow monitoring equipment generates an optimal route according to the current position and the destination of the vehicle, and the brief information and the license plate information of the optimal route are displayed to remind a driver of selecting a correct route to avoid the jam. The device can monitor the traffic state in real time, and guide the vehicle to shunt in the first time when congestion occurs, so that the information is transmitted in time, the congestion is prevented from being further aggravated, and the congestion can be quickly eliminated with the help of other dredging measures.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram illustrating a traffic congestion monitoring apparatus based on big data according to the present invention;
fig. 2 is a schematic structural diagram of a sub-device in the traffic flow monitoring device.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a big data based traffic congestion monitoring apparatus, which includes a plurality of traffic monitoring devices 100 and a data processing server 200 connecting the plurality of traffic monitoring devices 100.
The traffic flow monitoring devices 100 are respectively installed at various positions of a road, for example, they may be installed on a monitoring rod at an intersection or installed together with devices for speed measurement, photographing, illegal photographing, etc. on the road, and are mainly used for monitoring real-time traffic flow on the road and providing certain diversion guidance information.
The traffic flow monitoring device 100 includes a plurality of sub-devices, and the plurality of sub-devices are installed at the same position on the road and are respectively used for monitoring the traffic flow on different lanes. Referring to fig. 2, the sub-apparatus includes a main body 101, a display screen 102 and a mounting member 103, the display screen 102 and the mounting member 103 being respectively installed on a top surface and a bottom surface of the main body 101, the mounting member 103 being used to install the main body 101 on a monitoring pole on a road, and the display screen 102 being used to display guidance information output from the main body 101.
The main body 101 is internally provided with a processor, a communication unit and a storage unit, wherein the communication unit and the storage unit are respectively electrically connected with the processor, and the communication unit is also in communication connection with other sub-devices or the data processing server 200 through a communication cable 104.
The processor inside the main body 101 acquires the acquired video from the camera, extracts an image of each frame in the video, identifies license plate information in the image, and sends the license plate information, the current time, and the serial number of the sub-device to the data processing server 200. The data processing server 200 stores the number of each sub-device and the information of the corresponding geographical position in advance, after receiving the data sent by the sub-devices, the data processing server 200 determines the position of each license plate when being recorded according to the number of the sub-devices, then connects all the recorded positions of the same license plate according to the time sequence to form a real-time driving track of one vehicle, and the real-time driving track of each vehicle is obtained after the processing is carried out on each license plate.
Through data acquisition and processing for many times, the data processing server 200 can accumulate the traveling tracks of a large number of vehicles, and after analyzing the traveling track of each vehicle, big data of the traveling rules of the vehicles, including travel time, departure place, destination and passing intersection information, can be obtained.
After obtaining the driving rule of each vehicle, the data processing server 200 sends the destination information of the vehicle driving to the related traffic monitoring device 100 according to the driving rule data. In this embodiment, the data processing server 200 extracts intersection information that a vehicle having a travel time at the current time may pass through, for example, every day, queries the numbers (i.e., the numbers of the sub-devices) of one or more traffic monitoring devices 100 corresponding to the extracted intersection information, and then sends destination information of the vehicle to the corresponding traffic monitoring devices 100 according to the numbers. The traffic flow monitoring device 100 corresponding to the extracted intersection information refers to the traffic flow monitoring device 100 installed on the road or intersection where the vehicle passes through the intersection and the road or intersection adjacent to the intersection. After the traffic flow monitoring device 100 receives the data sent by the data processing server 100, the data stored last time is deleted, so as to ensure that the data used each time is the latest.
After the vehicle flow monitoring device 100 acquires the license plate information each time, the license plate information, the current time and the serial number are uploaded to the data processing server 200, meanwhile, the real-time vehicle flow is determined by identifying the number of the acquired license plates, when the vehicle flow exceeds a warning value, the vehicle flow monitoring device 100 sends an alarm message to the data processing server 200, and in response to the alarm message, the data processing server 200 sends a guiding start message to the vehicle flow monitoring device 100 at the intersection or the intersection adjacent to the road where the vehicle flow monitoring device 100 is located or on the road.
The traffic flow monitoring device 100 which receives the guidance starting information starts to determine a corresponding destination according to the license plate information, plans an optimal route which bypasses the congested road ahead according to the current position, extracts names of a plurality of roads or intersections which are closest to the current position in the optimal route, and combines the extracted names of the roads or intersections and the license plate information into guidance information, and the traffic flow monitoring device 100 outputs the guidance information to the display screen 102, so that congestion guidance information can be provided for vehicles running on the roads.
In this embodiment, the plurality of sub-devices included in the vehicle flow monitoring device 100 are divided into a master device and a plurality of slave devices, the master device is configured to collect data collected by itself and other slave devices, upload the data to the data processing server 200, and receive the data sent by the data processing server 200, that is, each of the vehicle flow monitoring devices 100 is responsible for data transceiving with the data processing server 200 by the master device, and the slave devices can only communicate with the master device and cannot directly communicate with the data processing server 200, so that access port resources of the data processing server 200 can be greatly saved.
The hardware configurations of the master device and the slave device may be the same, that is, the processor, the communication unit, the processing unit, and the display screen having the same specification, or there may be a difference in hardware configuration, that is, the hardware configuration of the master device may be higher than that of the slave device. When there is a difference in hardware configuration, the slave device may also only have a main body and a mounting part, and only the master device includes the main body, the mounting part and a display screen, and the slave device plans to extract road or intersection information in an optimal route and then sends the information to the master device, and the master device displays guidance information.
Of course, the traffic flow monitoring device 100 also uploads the acquired license plate information, current time and serial number to the data processing server 200 while displaying the guidance information, so that the data processing server 200 updates the driving rule data, and ensures that all vehicles can obtain corresponding guidance information each time traffic congestion occurs.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (7)
1. A traffic jam monitoring device based on big data is characterized by comprising a plurality of traffic flow monitoring devices and a data processing server, wherein the traffic flow monitoring devices are respectively arranged at each position of a road;
the traffic flow monitoring equipment identifies license plate information of vehicles on the road, and sends the license plate information and the current time to the data processing server, the data processing server determines the position of each license plate when being recorded according to the geographic position of the traffic flow monitoring equipment, and then all the recorded positions of the same license plate are connected according to the time sequence to form a driving track of one vehicle; after a plurality of driving tracks are accumulated, the data processing server analyzes the driving tracks to obtain big data of a driving rule of the vehicle, including a travel destination; after the driving rule is obtained, the data processing server sends the vehicle driving destination information to the related traffic flow monitoring equipment according to the driving rule data;
after the vehicle flow monitoring equipment acquires the license plate information each time, determining whether traffic jam occurs or not by identifying the number of the acquired license plates, if so, sending alarm information to a data processing server by the vehicle flow monitoring equipment, and sending guiding starting information to the vehicle flow monitoring equipment on the intersection or the road adjacent to the intersection or the road where the vehicle flow monitoring equipment is located or the road by the data processing server in response to the alarm information;
the traffic flow monitoring equipment which receives the guiding starting information determines a corresponding destination according to the license plate information, plans an optimal route which bypasses the congested road according to the current position, extracts the names of a plurality of roads or intersections which are closest to the current position in the optimal route, and combines the extracted road or intersection names and the license plate information into guiding information, and the traffic flow monitoring equipment outputs the guiding information to a display screen to carry out shunting guiding on the vehicle;
the driving rule data also comprises travel time and passing intersection information; after the data processing server obtains the driving rule data of each vehicle, regularly extracting intersection information which is possibly passed by the vehicle with the travel time being the current time, inquiring traffic flow monitoring equipment installed on a passing intersection and a road or an intersection adjacent to the passing intersection, and sending destination information of the vehicle to the inquired traffic flow monitoring equipment;
the method for determining whether traffic jam occurs by the traffic flow monitoring equipment comprises the following steps: and determining real-time traffic flow through the number of the license plates obtained through recognition, and determining that traffic jam occurs by the traffic flow monitoring equipment when the traffic flow exceeds a warning value.
2. The big-data-based traffic congestion monitoring device as claimed in claim 1, wherein the traffic flow monitoring device comprises a plurality of sub-devices, each sub-device collects license plate information and uploads the license plate information to the data processing server, and performs optimal route planning and vehicle diversion guidance in response to the guidance starting information.
3. The big-data-based traffic congestion monitoring device as claimed in claim 2, wherein a plurality of sub-devices in the traffic flow monitoring device are divided into a master device and a plurality of slave devices, the master device is configured to collect data collected by itself and other slave devices, upload the data to the data processing server, receive the data sent by the data processing server, and store or distribute the received data to the slave devices.
4. The big-data-based traffic congestion monitoring apparatus as claimed in claim 3, wherein the hardware configuration of the master device and the slave device is the same.
5. The big-data-based traffic congestion monitoring device as claimed in claim 3, wherein the hardware configuration of the master device is higher than that of the slave device, the master device has a display screen, the slave device plans to extract road or intersection information in the optimal route and then sends the information to the master device, and the master device displays guidance information.
6. The big-data-based traffic congestion monitoring apparatus as claimed in claim 2, wherein the sub-device comprises a main body, a display screen and a mounting member, the display screen and the mounting member are respectively installed on the top surface and the bottom surface of the main body, the mounting member is used for installing the main body on the monitoring rod on the road, and the display screen is used for displaying the guidance information output by the main body.
7. The big-data-based traffic congestion monitoring device according to claim 1, wherein the traffic flow monitoring equipment uploads the acquired license plate information and the current time to the data processing server while displaying the guidance information, so that the data processing server updates the driving rule data.
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| CN113409584B (en) * | 2021-06-10 | 2022-04-29 | 英博超算(南京)科技有限公司 | Traffic jam analysis and prevention method based on V2X |
| CN114973734B (en) * | 2022-05-10 | 2024-04-26 | 江苏国科北斗智能研究院有限公司 | Public travel real-time road condition traffic flow scheduling system based on big data |
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| CN105023439A (en) * | 2015-07-02 | 2015-11-04 | 湖北贝力思智能科技有限公司 | Intelligent dynamic license plate recognition alarm system |
| CN105702030B (en) * | 2016-03-01 | 2018-07-17 | 西安交通大学 | Urban safety monitoring camera dispositions method based on vehicle running orbit |
| CN108470451A (en) * | 2018-04-22 | 2018-08-31 | 昆山东大智汇技术咨询有限公司 | A kind of intelligent transportation system based on big data |
| CN108550261B (en) * | 2018-05-31 | 2021-05-04 | 重庆大学 | Urban traffic OD (origin-destination) calculation method based on RFID (radio frequency identification) electronic license plate |
| CN109615894A (en) * | 2018-12-29 | 2019-04-12 | 南京奥杰智能科技有限公司 | Road section traffic volume road condition detection system for traffic information intelligent management |
| CN109859479B (en) * | 2019-04-03 | 2022-03-18 | 湖南科技学院 | Vehicle road guiding evacuation method based on cloud computing |
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