Unidirectional trunk line green wave coordination control self-adaptive adjusting method

Abstract

The invention provides a unidirectional trunk line green wave coordination control self-adaptive adjusting method, which completes identification and detection of vehicle information by adopting a video identification technology, calculates a traffic flow density when detecting an average speed of the vehicles, adjusts a green time ratio of an intersection according to the traffic flow density, reasonably allocates road resources, accelerates the emptying of queuing vehicles in a branch, reduces interference of vehicle incoming and outgoing of the branch on a green wave effect, and optimizes agreen wave implementation effect. The unidirectional trunk line green wave coordination control self-adaptive adjusting method has the beneficial effects of monitoring traffic flow conditions arriving at the intersection in real time by adopting a video identification technology, dividing a vehicle queuing region, starting green wave signal self-adaptive adjustment when the vehicles in the queuing region exceeds a set threshold value, identifying and recording license plate numbers of the queuing vehicles, measuring and calculating an average driving speed of the vehicles in the road sectionwhen the vehicles arrive at a downstream intersection, predicting a time when the queue arrives at a next intersection, and adjusting a phase difference according to a preset strategy. The unidirectional trunk line green wave coordination control self-adaptive adjusting method achieves the purpose of reducing the average delay time of the vehicles so as to improve road traffic passing capacity andreducing urban traffic pollution.

Description

technical field [0001] The invention relates to the technical field of intelligent traffic signal control. Background technique [0002] With the development of society and economy and the advancement of science and technology, transportation has increasingly become an indispensable part of people's work and life. The development of transportation ensures the normal operation of the social and economic system and people's daily life. At the same time, the construction of road infrastructure is becoming more and more difficult to meet the growing traffic demand. A series of problems such as traffic jams, environmental pollution, and traffic accidents that follow have also restricted the sound development of the city and caused huge economic losses. It is difficult to solve the problem simply by increasing road infrastructure construction and adopting traditional traffic management methods. The optimal design and intelligent coordinated control of traffic signals have becom...

AI Technical Summary

Problems solved by technology

In actual operation, drivers often cannot drive at the designed green wave speed due to factors such as weather, road conditions, and psychology.

Causes the time to arrive at the downstream intersection to be too early to form a queue, or arrive too late to cause the vehicle to fail to pass the intersection in time to form an empty intersection, resulting in an insignificant improvement effect of the green wave belt

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