Intelligent traffic guidance method based on vehicle access cooperation

Abstract

The invention provides an intelligent traffic guidance method based on vehicle access cooperation. The method comprises the following steps: 1) detecting the spatio-temporal data of each road sectionand intersection in a jammed area in a urban road network by adopting floating vehicle data and fixing detector, and acquiring the spatio-temporal traffic data of the road network according to the related data of an electronic map; 2) dividing the urban road network by adopting a MFD-based urban road network guidance subarea dividing method; 3) acquiring cooperative guidance information by adopting a MFD-based urban road network guidance and boundary control cooperation strategy; and 4) publishing the cooperative guidance information by adopting a multi-terminal cooperative guidance information spatio-temporal publishing strategy.

Description

technical field [0001] The invention relates to an intelligent traffic guidance method, in particular to an intelligent traffic guidance method based on vehicle-road coordination. Background technique [0002] The development of urbanization and motorization has led to traffic congestion, which has become a difficult problem for many cities. In the macro-traffic network, although many complex algorithms are used to solve road network traffic control problems, it is difficult to obtain accurate OD data, which makes it difficult to apply these methods in a real-time control environment. Macroscopic Fundamental Diagram (Macroscopic Fundamental Diagram, MFD) can just avoid this problem, and its existence has been proved to provide an opportunity for popularization and application in the field of traffic control. [0003] In the traditional traffic control system, only the control sub-areas divided according to certain principles are regarded as a traffic control sub-area, and o...

AI Technical Summary

Problems solved by technology

In the macro-traffic network, although many complex algorithms are used to solve road network traffic control problems, it is difficult to obtain accurate OD data, which makes it difficult to apply these methods in a real-time control environment. Macroscopic Fundamental Diagram (Macroscopic Fundamental Diagram, MFD) can just avoid this problem, and its existence has been proved to provide an opportunity for popularization and application in the field of traffic control

[0003] In the traditional traffic control system, only the control sub-areas divided according to certain principles are regarded as a traffic control sub-area, and only focus on the traffic efficiency in the control sub-area. synergy

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