Solution selection type trunk green wave configuration method and system

Abstract

The invention provides a solution selection type trunk green wave configuration method and system. The method comprises the steps of generating a trunk information base; analyzing trunk traffic flow patterns according to current trunk traffic investigation situation, researching an intersection grouping solution during trunk green wave control in each pattern, and generating a trunk green wave configuration solution base; acquiring real-time trunk intersection traffic flow detection parameters, analyzing a real-time trunk traffic flow running pattern by similarity assessment, selecting an appropriate intersection grouping solution from the trunk green wave configuration solution base, thus realizing the configuration of trunk green wave parameters; and transmitting the generated real-time trunk green wave configuration solution to an intersection traffic signal controller to execute the solution. The solution selection type trunk green wave configuration method and system can meet the requirements of green wave configuration for instantaneity and validity, and can guarantee trunk green wave bandwidth and optimize the overall trunk traffic efficiency.

Description

technical field [0001] The invention relates to intelligent traffic signal control, in particular to a scheme-selective green wave configuration method and system for trunk lines. Background technique [0002] The green wave coordinated control of trunk lines is a commonly used method of coordinated signal control at intersections, which can effectively reduce the number of vehicle stops, improve the efficiency of traffic operation, and ensure the smooth running of trunk lines to a certain extent. Scholars at home and abroad have also carried out a lot of research in the field of green-wave collaborative control of trunk lines, proposing many control strategies and optimization algorithms, such as maximizing the green-wave bandwidth or minimizing the average delay, number of stops, and fuel consumption. The objective is to build an optimization model to adjust the signal timing parameters. The practical application of these methods and technologies has also achieved good res...

AI Technical Summary

Problems solved by technology

However, dynamic factors such as signal control schemes and traffic flow operation conditions all affect the correlation of intersections. The fixed intersection coordination control grouping scheme obviously cannot meet the response requirements of signal control schemes for real-time traffic operation conditions, and may even seriously affect green traffic. wave control effect

At present, many research results have been accumulated in the field of dynamic sub-area division of arterial lines. The dynamic division of signal control sub-areas is realized based on complex division models or artificial intelligence algorithms with a huge amount of data calculation. This method can be based on real-time traffic demand. Effectively adjust the division of sub-regions, but the real-time performance is not good

Images