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

A technology of self-adaptive adjustment and coordinated control, which is applied in traffic control systems, traffic signal control, road vehicle traffic control systems, etc., can solve the problems of drivers being unable to drive, and the effect of green wave belt lifting is not obvious, so as to speed up emptying , optimize the effect of implementation, and reduce the effect of interference

Active Publication Date: 2018-02-23
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
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  • Application Information

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 t

Method used

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

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Experimental program
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Embodiment Construction

[0032] The technical solution adopted in the summary of the invention will be described in detail below in conjunction with the accompanying drawings, and the main steps are as follows:

[0033] Step 1: Initialize the configuration of the green wave zone, refer to the classic green wave zone design method to initialize the configuration of the control signal parameters of each intersection.

[0034] Step 2: Traffic data detection, through high-definition video detection to detect traffic flow in one direction on the main line, and provide basic judgment data on whether to adjust the phase difference at the intersection. The distribution of intersections and detectors is shown in the figure. Intersections 1, 2, and 3 are three intersections arranged in sequence from upstream to downstream. The phase difference between intersections 1 and 2 is The phase difference between intersections 2 and 3 is

[0035] Step 3: Phase difference adjustment demand analysis, determine the se...

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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...

Claims

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Application Information

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IPC IPC(8): G08G1/08G08G1/081
CPCG08G1/08G08G1/081
Inventor 刘小明尚春琳蒋源郑淑晖黄晓芹鲍冠文郑桂芳
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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