Road network traffic optimization control system and method

Abstract

The invention discloses a road network traffic optimization control system and method, belonging to the field of traffic. The method comprises: traffic data of a road network, especially intersection turning flow data and section divisional flow data, is extracted based on fusion analysis on vehicle-mounted GPS / Beidou positioning data and fixed detector data; a method for detecting a road network traffic state with travel delay index two-dimensional coordinates as characterization parameters is provided, and the road network state is represented by a region range; based on user travel path analysis data, a dynamic dividing method for traffic coordination control cells is provided; by adopting road upstream and downstream traffic capacity analysis technology and with a control target of regional road network traffic optimization, a linked optimization method for a control scheme of signals at crossroads near a regional key intersection is provided; and an intersection signal control adaptive optimization method based on a traffic delay index is provided. The method improves the active prevention and control capability of the control system for road network congestion.

Description

technical field [0001] The invention relates to the field of traffic, in particular to a traffic optimization control system and method for a base road network. Background technique [0002] In recent years, with the depletion of urban road land resources and the continuous increase in car ownership, urban traffic problems have become increasingly serious, and the requirements for traffic control technology have continued to increase. Among them, after decades of development in our country, the traffic signal control system has become an important subsystem of my country's intelligent traffic control system; the traffic signal control system in major cities in China plays an important role in maintaining road traffic order and alleviating urban congestion. effect. However, as the scope of urban traffic control continues to expand and the complexity of traffic continues to increase, there is an urgent need for traffic control to be refined in time and space. [0003] In the ...

AI Technical Summary

Problems solved by technology

[0004] Its shortcoming is that the self-adaptation of intersections depends on the traffic data obtained by fixed detectors on the road, but the damage rate of detectors is high. The overall monitoring ability of traffic status is weak; the control mode from extrapolation of point control to line coordinated control, and then to regional coordinated control, that is, the control optimization method based on the core of key intersections, does not fully consider the connectivity characteristics of traffic operation. While the traffic capacity increases, the traffic efficiency of the surrounding intersections drops sharply

The existing intersection signal control, the control modeling method based on the operating characteristics of traffic flow is a passive perception model, which can only realize the subsequent control of traffic flow, and the ability to prevent and control traffic congestion on large-scale road networks is weak

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