Extraction method of urban road network dissipation capacity based on vehicle identification data

Abstract

The invention provides a method for extracting the urban road network dissipation capacity based on vehicle identification data, which is characterized in that a road network traffic behavior trajectory of a sample vehicle in the time dimension is built by taking the vehicle identification data in an urban road network as a support and taking continuous traffic behavior tracking of the vehicle inthe road network as a basis, behavior characteristic analysis for overall vehicles in the macroscopic road network within a short time interval is realized in a time collection mode, and the traffic flow dissipation capacity of the road network is extracted according to a variation relation between the existence quantity and the dissipation quantity of vehicles in the road network. According to the method, inherent performance characteristics of the road network at the macroscopic level are extracted from the mass road network passing vehicle license plate identification data by taking the current domestic traffic flow data acquisition conditions as a premise, adopting an idea of data driving and starting from the perspective of vehicle behavior analysis, thereby making up a defect that the characteristic index cannot be accurately obtained through methods such as modeling at present.

Description

Technical field [0001] The invention relates to a method for extracting urban road network dissipation capability based on vehicle identification data. Background technique [0002] The development of the Internet of Things technology is giving birth to the advancement of refined road traffic collection technology. With the improvement and improvement of the quality of real-time traffic data such as the granularity and reliability of the temporal and spatial dimensions, and the integrity of the traffic data at the road network level, domestic Foreign academic circles pay more and more attention to the role of high-precision and high-resolution data in the performance evaluation of urban road traffic flow. [0003] In view of the current mainstream urban road traffic flow data collection conditions in my country, relying on high-definition bayonet equipment and vehicle management database, it can realize the full-sample perception and recognition of vehicles in the main and secondar...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for extracting urban road network dissipation capacity based on vehicle identification data, to track the traffic behavior of all samples of vehicles in the urban road network based on vehicle identification data, and to further extract road network dissipation capacity indicators through data aggregation analysis, Solve the problem of lack of a simple and reliable extraction method for evacuation capacity existing in the prior art

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