CN113345238A - Traffic jam analysis system based on urban public transport network perception - Google Patents
Traffic jam analysis system based on urban public transport network perception Download PDFInfo
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- CN113345238A CN113345238A CN202110769111.9A CN202110769111A CN113345238A CN 113345238 A CN113345238 A CN 113345238A CN 202110769111 A CN202110769111 A CN 202110769111A CN 113345238 A CN113345238 A CN 113345238A
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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
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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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
- 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
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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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 analysis system based on urban public transport network perception, which comprises a first data acquisition module, a second data acquisition module, a data correction module, a vehicle-mounted information terminal, a data receiving module, a data analysis module, a jam pre-judging module, a jam verification module and a map generation module, wherein the jam verification module compares and verifies the current vehicle data according to the data of other vehicles; the congestion verification module is connected with the congestion sub-map generation module; the vehicle-mounted information terminal is positioned on a bus and is connected with the data receiving module through a 5G network, the data receiving module is connected with the data analysis module, and the data analysis module is used for carrying out classification analysis on data sent by the vehicle-mounted information terminal. According to the invention, the congestion verification module is added, and data of the side vehicle with deep time and the vehicle associated with the same road segment can be verified, so that the accuracy of congestion pre-judgment analysis is further improved.
Description
Technical Field
The invention relates to the field of urban traffic, in particular to a traffic jam analysis system based on urban public transport network perception.
Background
At present, along with the continuous promotion of science and technology level to and the rapid development in city, camera and on-vehicle information terminal have all been installed to public transport on the majority. With the application of 5G, the real-time data transmission of the public transport network becomes more accurate. With the development of smart cities, traffic information collection network architectures based on public transport networks are also developed. The existing traffic information collection system based on the urban public transport network is mostly applied to a pre-judging analysis system for road traffic jam.
Most of the existing traffic jam analysis systems based on the public transport network are based on the analysis of real-time traffic data, and although the analysis is more accurate, the traffic jam is analyzed; the accuracy of the analysis remains to be perfected and further enhanced. The existing traffic jam analysis and verification systems are mostly verified based on data information of current vehicles, and public transport vehicle information with deep time at the same place is not verified and analyzed.
Disclosure of Invention
The invention aims to provide a traffic jam analysis system based on urban public transport network perception so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a traffic jam analysis system based on urban public transport network perception comprises a first data acquisition module, a second data acquisition module, a data correction module, a vehicle-mounted information terminal, a data receiving module, a data analysis module, a jam pre-judging module, a jam verification module and a map generation module, wherein the first data acquisition module is originated from a first public transport vehicle, the second data acquisition module is originated from a second public transport station with the nearest distance of the same road section, the first data acquisition module is connected with the data correction module or the second data acquisition module is connected with the data correction module, and the first data acquisition module is connected with the vehicle-mounted information terminal or the second data acquisition module is located in the vehicle-mounted information terminal; the data correction module is used for screening and filtering the data connected with the first data acquisition module or the data connected with the second data acquisition module.
The vehicle-mounted information terminal is positioned on a bus and is connected with the data receiving module through a 5G network, the data receiving module is connected with the data analysis module, and the data analysis module is used for carrying out classification analysis on data sent by the vehicle-mounted information terminal; the data analyzed by the data analysis module is sent to a congestion pre-judging module, the congestion pre-judging module can be used for pre-judging the congestion condition of the road according to the data, and the congestion pre-judging module is connected with a congestion verification module; the congestion verification module compares and verifies the current vehicle data according to the data of other vehicles; the congestion verification module is connected with the congestion sub-map generation module; the congestion sub-map generation module is used for generating a partially congested traffic map and then sending sub-map data to a traffic management system, so that the whole traffic congestion analysis process is completed.
As shown in fig. 1, the first data acquisition module or the second data acquisition module can acquire a vehicle position information module, and both the first data acquisition module and the second data acquisition module are connected with a video data analysis module, a vehicle speed recording module, a vehicle speed threshold calculation module and a vehicle fault or accident judgment module; the video data analysis module is used for analyzing the video data of the driving video recording module and selecting the relevant data of the traffic flow of the lane; the vehicle speed recording module can record the speed of the vehicle in real time and carry out averaging processing on data of the vehicle in each road section; the vehicle speed threshold calculation is a threshold for calculating the vehicle speed.
The vehicle fault or accident judgment module analyzes and judges according to the data of the driving video, and if the bus stops and the surrounding vehicles move relatively or the vehicles collide or stall, the vehicle fault or accident is judged.
As shown in fig. 2, the congestion verification module can compare data of other vehicles in the departure period of the same bus route, including the bus running on the route ahead of the congestion verification module; the method can also compare the bus data at the nearest time point of the same-direction lane so as to compare the bus data with deep time; the method can compare the data of the buses at the related intersections of the same-direction lanes, such as the buses on the rear cross road; can be to the bus data contrast on the extension road, its extending direction is the possible direction that the vehicle travel, including gathering the bus data on the right turn, the road that moves ahead and the left turn road.
Compared with the prior art, the invention has the advantages that: the congestion verification module is additionally arranged, so that data of the side vehicle with deep time and the vehicle related to the same road segment can be verified, and the accuracy of congestion pre-judgment analysis is further improved; the data correction module is arranged to correct vehicle fault or accident data.
Drawings
Fig. 1 is a block diagram of a traffic congestion analysis system based on urban public transport network perception.
Fig. 2 is a block diagram of a congestion verification module in the system of the present invention.
FIG. 3 is a schematic diagram of a bus location for verification in the system of the present invention.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
Referring to fig. 1, a traffic jam analysis system based on urban public transport network perception comprises a first data acquisition module, a second data acquisition module, a data correction module, a vehicle-mounted information terminal, a data receiving module, a data analysis module, a jam pre-judging module, a jam verifying module and a map generating module, wherein the first data acquisition module is originated from a first bus, the second data acquisition module is originated from a second bus station with the nearest distance of the same road segment, the first data acquisition module or the second data acquisition module is connected with the data correction module, and the first data acquisition module or the second data acquisition module is located in the vehicle-mounted information terminal; the data correction module is used for screening and filtering data connected with the first data acquisition module or data connected with the second data acquisition module, mainly used for screening data of vehicle faults or accidents, abandoning the vehicle-mounted information terminal of the current vehicle after screening, and then switching a new vehicle-mounted information terminal of the nearest bus.
The vehicle-mounted information terminal is positioned on a bus and is connected with the data receiving module through a 5G network, the data receiving module is connected with the data analysis module, and the data analysis module is used for carrying out classification analysis on data sent by the vehicle-mounted information terminal; the data analyzed by the data analysis module is sent to a congestion pre-judging module, the congestion pre-judging module can be used for pre-judging the congestion condition of the road according to the data, and the congestion pre-judging module is connected with a congestion verification module; the congestion verification module compares and verifies the current vehicle data according to the data of other vehicles; the congestion verification module is connected with the congestion sub-map generation module; the congestion sub-map generation module is used for generating a partially congested traffic map and then sending sub-map data to a traffic management system, so that the whole traffic congestion analysis process is completed.
As shown in fig. 1, the first data acquisition module or the second data acquisition module can acquire a vehicle position information module, and both the first data acquisition module and the second data acquisition module are connected with a video data analysis module, a vehicle speed recording module, a vehicle speed threshold calculation module and a vehicle fault or accident judgment module; the video data analysis module is used for analyzing the video data of the driving video recording module and selecting the relevant data of the traffic flow of the lane; the vehicle speed recording module can record the speed of the vehicle in real time and carry out averaging processing on data of the vehicle in each road section; the vehicle speed threshold calculation is a threshold for calculating the vehicle speed.
The vehicle fault or accident judgment module analyzes and judges according to the data of the driving video, and if the bus stops and the surrounding vehicles move relatively or the vehicles collide or stall, the vehicle fault or accident is judged.
As shown in fig. 2, the congestion verification module can compare data of other vehicles in the departure period of the same bus route, including the bus running on the route ahead of the congestion verification module; the method can also compare the bus data at the nearest time point of the same-direction lane so as to compare the bus data with deep time; the method can compare the data of the buses at the related intersections of the same-direction lanes, such as the buses on the rear cross road; can be to the bus data contrast on the extension road, its extending direction is the possible direction that the vehicle travel, including gathering the bus data on the right turn, the road that moves ahead and the left turn road.
As shown in fig. 3, in this embodiment, an intersection is selected as a scene, where a black module represents a current-time bus, a white frame represents a bus in an associated road segment, a shaded portion represents a bus at a closest time point to the same location (i.e., a bus with a deep time), it can be known from fig. 3 that the bus at the closest time point to the same location is based on the location information of the location, then all buses passing through a change point are sorted according to a time axis, the bus at the closest time point is selected, and then data comparison analysis is performed, so as to verify congestion pre-determination.
Although the preferred embodiments of the present patent have been described in detail, the present patent is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present patent within the knowledge of those skilled in the art.
Claims (6)
1. A traffic jam analysis system based on urban public transport network perception comprises a first data acquisition module, a second data acquisition module, a data correction module, a vehicle-mounted information terminal, a data receiving module, a data analysis module, a jam pre-judging module, a jam verification module and a map generation module, and is characterized in that the first data acquisition module is originated from a first bus, the second data acquisition module is originated from a second bus station with the nearest distance of the same road section, the first data acquisition module or the second data acquisition module is connected with the data correction module, and the first data acquisition module or the second data acquisition module is positioned in the vehicle-mounted information terminal;
the data correction module is used for screening and filtering data connected with the first data acquisition module or the second data acquisition module; the data analyzed by the data analysis module is sent to a congestion pre-judging module; the congestion pre-judging module can be used for pre-judging the congestion condition of the road according to the data and is connected with the congestion verifying module;
the congestion verification module compares and verifies the current vehicle data according to the data of other vehicles; the congestion verification module is connected with the congestion sub-map generation module;
the congestion sub-map generation module is used for generating a locally congested traffic map and then sending sub-map data to a traffic management system.
The vehicle-mounted information terminal is positioned on a bus and is connected with the data receiving module through a 5G network, the data receiving module is connected with the data analysis module, and the data analysis module is used for carrying out classification analysis on data sent by the vehicle-mounted information terminal.
2. The system of claim 1, wherein the first data acquisition module or the second data acquisition module is capable of acquiring vehicle position information, and both the first data acquisition module and the second data acquisition module are connected to a video data analysis module, a vehicle speed recording module, a vehicle speed threshold calculation module, and a vehicle fault or accident judgment module.
3. The system for analyzing the traffic jam based on the urban public transport network perception as claimed in claim 2, wherein the video data analysis module is used for analyzing the video data of the driving video recording module and selecting the relevant data of the traffic flow of the lane; the vehicle speed recording module can record the speed of the vehicle in real time and carry out averaging processing on data of the vehicle in each road section.
4. The system for analyzing the traffic jam based on the urban public transportation network perception as claimed in claim 2, wherein the vehicle speed threshold calculation is a threshold for calculating the vehicle speed; the vehicle fault or accident judgment module analyzes and judges according to the data of the driving video.
5. The system of claim 4, wherein when the bus stops and the surrounding vehicles move relatively or the vehicle collides or stalls, it is determined that the vehicle is in failure or encounters an accident.
6. The system for analyzing the traffic jam based on the urban public transportation network perception as claimed in claim 1, wherein the jam verification module can compare data of other vehicles in the departure period of the same bus route, including the bus running on the route ahead of the same bus route; the method can compare the bus data at the nearest time point of the same-direction lane so as to compare the bus data with deep time; the data of the public transport vehicles at the related intersections of the same-direction lanes can be compared to obtain the data of the public transport vehicles; can be to the bus data contrast on the extension road, its extending direction is the possible direction that the vehicle travel, including gathering the bus data on the right turn, the road that moves ahead and the left turn road.
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| CN202110769111.9A CN113345238A (en) | 2021-07-07 | 2021-07-07 | Traffic jam analysis system based on urban public transport network perception |
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| CN202110769111.9A CN113345238A (en) | 2021-07-07 | 2021-07-07 | Traffic jam analysis system based on urban public transport network perception |
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Cited By (1)
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Application publication date: 20210903 |