CN107146414B - Road network traffic capacity extraction method based on vehicle identification - Google Patents
Road network traffic capacity extraction method based on vehicle identification Download PDFInfo
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- CN107146414B CN107146414B CN201710514197.4A CN201710514197A CN107146414B CN 107146414 B CN107146414 B CN 107146414B CN 201710514197 A CN201710514197 A CN 201710514197A CN 107146414 B CN107146414 B CN 107146414B
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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
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
Abstract
The invention provides a road network traffic capacity extraction method based on vehicle identification, which is characterized by comprising the following steps of: analyzing the overall traffic flow operation situation of the road network from the traffic detection data of the individual vehicles, identifying the road network saturation critical state according to the fluctuation trend of the speed, analyzing the traffic capacity of the road network, identifying the road network traffic flow saturation critical state according to the time sequence situation of the average speed of the road network, judging the traffic flow critical saturation state of the road network corresponding to the time period when the average running speed is remarkably reduced, and taking the corresponding traffic flow rate in the time period as the road network critical traffic capacity. According to the road network traffic capacity extraction method based on vehicle identification, the overall traffic flow operation situation of a road network is analyzed according to the operation conditions of individual vehicles, the critical saturation state is further identified, and the traffic bearing capacity of the road network is further analyzed. The method has simple calculation process and is convenient for practical application.
Description
Technical Field
The invention relates to a road network traffic capacity extraction method based on vehicle identification.
Background
With the improvement of the refinement degree of the current road traffic flow information acquisition, in recent years, the academic circles at home and abroad have developed a hot tide for carrying out urban road traffic flow operation performance evaluation research by using high-precision and high-resolution data. According to the urban road traffic flow operation data acquisition conditions in China, large, medium and small cities have accumulated massive refined traffic flow information resources by relying on traffic flow information acquisition equipment with a vehicle identification function, such as a high-definition checkpoint, an electronic police and the like, and microscopic traffic management data provide novel research ideas and reliable data support for analysis of traffic flow operation modes.
The traffic capacity of a road network is used as one of core parameters of traffic system planning, design and operation management, and also plays an important role in the process of evaluating the operation performance of a traffic flow, and a simple and reliable traffic capacity extraction method is not available according to an empirical theoretical model at present. A refined traffic flow data acquisition mode provides a data-driven traffic capacity extraction idea, and the individual collection can reflect macroscopic characteristics. Compared with a refined traffic flow data acquisition mode such as GPS positioning and the like, the vehicle identification data acquired by the gate equipment has the advantage of comprehensive samples in a diversified traffic flow data acquisition mode, and the road network traffic flow operation characteristics can be extracted from the vehicle identification data by detecting the whole samples of the running vehicles in the road network.
Disclosure of Invention
The invention aims to provide a novel data-driven road network traffic capacity extraction method, which analyzes the macroscopic situation of the running of vehicles in a road network based on vehicle identification data, and judges the saturated critical state of the traffic flow of the road network from the supply and demand balance angle of the road network so as to extract the traffic capacity of the road network, so that the whole bearing capacity of the road network is measured, the calculation process is simple, the practical application is convenient, and the problem that a simple and reliable traffic capacity extraction method is lacked mainly according to an empirical theoretical model in the technology is solved.
The technical solution of the invention is as follows:
a road network traffic capacity extraction method based on vehicle identification analyzes the overall traffic flow operation situation of a road network from traffic detection data of individual vehicles, identifies the saturation critical state of the road network according to the fluctuation trend of speed, and analyzes the traffic capacity of the road network, and specifically comprises the following steps:
s1, acquiring vehicle identification data of each monitoring point location in the area according to the research area range, wherein the vehicle identification data comprise vehicle number plate numbers, detection time and detection point locations;
s2, according to the spatial connection relation of intersections and road sections in the road network, considering the detection time of vehicle identification data, and tracking the running track of passing vehicles in the road network through number plate matching; for any sample, namely a vehicle i, searching the number of the number i from the total sample data, screening the identification data of each monitoring point position in the road network, and calculating the travel time of the vehicle on a road section between adjacent monitoring point positions according to the time sequence and the spatial incidence relation of the monitoring point positions;
s3, calculating the average running speed of the vehicle on each road section according to the road section length; dividing short time intervals, calculating the average speed of a road network in the short time intervals according to the road section running speed data of all vehicles in each short time interval, counting the number of vehicles with detection records in corresponding time periods, and calculating the traffic flow rate;
s4, recognizing road network traffic flow saturation critical state according to time series situation of road network average speed, and meeting the condition that average running speed is remarkably reduced
Wherein
Respectively, the average speed of any two adjacent road networks at intervals, and M is a speed change rate critical threshold value, then the traffic flow critical saturation state of the road network corresponding to the time period is judged, and the corresponding traffic flow rate in the time period is taken as the road network critical traffic capacity.
Further, in step S1, the detection point is an intersection or a road section where the data acquisition device is installed; the vehicle identification data is acquired through electronic police equipment installed at the intersection and bayonet equipment on the section of the road section.
The invention has the beneficial effects that: according to the method for extracting the traffic capacity of the road network based on the vehicle identification, the average running speed of a road section is analyzed according to the number plate matching condition of the vehicle identification data, the critical saturation state is identified from the fluctuation situation of the average running speed of the traffic flow of the road network, and the corresponding traffic demand of the road network reflects the critical bearing capacity of the road network. The method analyzes the overall traffic flow operation situation of the road network from the operation condition of the individual vehicle, further identifies the critical saturation state, and further analyzes the traffic bearing capacity of the road network. The method has simple calculation process and is convenient for practical application.
Drawings
Fig. 1 is a schematic flow chart of a road network traffic capacity extraction method based on vehicle identification according to an embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
Examples
The invention provides a road network traffic capacity extraction method based on vehicle identification, which analyzes the overall traffic flow operation situation of a road network from traffic detection data of individual vehicles, identifies the saturation critical state of the road network according to the fluctuation trend of speed, and analyzes the traffic capacity of the road network, and the specific method comprises the following steps:
s1, acquiring vehicle identification data of each monitoring point location in the area according to the research area range, wherein the vehicle identification data comprise vehicle number plate numbers, detection time and detection point locations; the detection point position is an intersection or a road section where the data acquisition equipment is installed; the vehicle identification data is generally collected through electronic police equipment installed at the intersection, bayonet equipment on the section of the road section and the like;
s2, according to the spatial connection relation of intersections and road sections in the road network, considering the detection time of vehicle identification data, and tracking the running track of passing vehicles in the road network through number plate matching; for any sample, namely a vehicle i, searching the number of the number i from the total sample data, screening the identification data of each monitoring point position in the road network, and calculating the travel time of the vehicle on a road section between adjacent monitoring point positions according to the time sequence and the spatial incidence relation of the monitoring point positions;
s3, calculating the average running speed of the vehicle on each road section according to the road section length; dividing short time intervals, calculating the average speed of a road network in the short time intervals according to the road section running speed data of all vehicles in each short time interval, counting the number of vehicles with detection records in corresponding time periods, and calculating the traffic flow rate;
s4, identifying road network traffic flow saturation according to time series situation of road network average speedCritical state, for the case of a significant drop in the average speed of travel, i.e. satisfaction
Wherein
Respectively, the average speed of any two adjacent road networks at intervals, and M is a speed change rate critical threshold value, then the traffic flow critical saturation state of the road network corresponding to the time period is judged, and the corresponding traffic flow rate in the time period is taken as the road network critical traffic capacity.
According to the method for extracting the traffic capacity of the road network based on the vehicle identification, the average running speed of a road section is analyzed according to the number plate matching condition of the vehicle identification data, the critical saturation state is identified from the fluctuation situation of the average running speed of the traffic flow of the road network, and the corresponding traffic demand of the road network reflects the critical bearing capacity of the road network. The method analyzes the overall traffic flow operation situation of the road network from the operation condition of the individual vehicle, further identifies the critical saturation state, and further analyzes the traffic bearing capacity of the road network. The method has simple calculation process and is convenient for practical application.
Claims (2)
1. A road network traffic capacity extraction method based on vehicle identification is characterized by comprising the following steps: analyzing the overall traffic flow operation situation of the road network from the traffic detection data of the individual vehicles, identifying the road network saturation critical state according to the fluctuation trend of the speed, and further extracting the traffic capacity of the road network, wherein the method specifically comprises the following steps:
s1, acquiring vehicle identification data of each detection point in the area according to the research area range, wherein the vehicle identification data comprises a vehicle number plate number, detection time and detection points;
s2, according to the spatial connection relation of intersections and road sections in the road network, considering the detection time of vehicle identification data, and tracking the running track of passing vehicles in the road network through number plate matching; for any sample, namely a vehicle i, searching the number of the number i from the total sample data, screening the identification data of each detection point in the road network, and calculating the travel time of the vehicle on a road section between adjacent detection points according to the time sequence and the spatial incidence relation of the detection points;
s3, calculating the average running speed of the vehicle on each road section according to the road section length; dividing short time intervals, calculating the average speed of a road network in the short time intervals according to the road section running speed data of all vehicles in each short time interval, counting the number of vehicles with detection records in corresponding time periods, and calculating the traffic flow rate;
s4, recognizing road network traffic flow saturation critical state according to time series situation of road network average speed, and meeting the condition that average running speed is remarkably reduced
WhereinRespectively, the average speed of any two adjacent road networks at intervals, and M is a speed change rate critical threshold value, then the traffic flow critical saturation state of the road network corresponding to the time period is judged, and the corresponding traffic flow rate in the time period is taken as the road network critical traffic capacity.
2. The vehicle identification based road network traffic capacity extraction method according to claim 1, characterized by: in the step S1, the detection point is an intersection or a road section where the data acquisition device is installed; the vehicle identification data is acquired through electronic police equipment installed at the intersection and bayonet equipment on the section of the road section.
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| CN107591003B (en) * | 2017-10-26 | 2020-04-03 | 江苏智通交通科技有限公司 | Urban road network dissipating capacity extraction method based on vehicle identification data |
| CN108765939B (en) * | 2018-05-11 | 2021-02-02 | 贵阳信息技术研究院（中科院软件所贵阳分部） | Dynamic traffic congestion index calculation method based on clustering algorithm |
| CN111639837B (en) * | 2020-04-30 | 2023-02-10 | 同济大学 | Road network service performance evaluation method and device, storage medium and terminal |
| CN112289030B (en) * | 2020-11-02 | 2021-12-21 | 吉林大学 | Method for calculating maximum number of vehicles capable of being accommodated in urban road network |
| CN114419876B (en) * | 2021-12-13 | 2023-04-25 | 北京百度网讯科技有限公司 | Road saturation evaluation method and device, electronic equipment and storage medium |
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