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Adaptive signal control optimization method for urban main and branch intersection

A technology of self-adaptive signal and optimization method, applied in the direction of control of traffic signal, neural learning method, instrument, etc., can solve single, few and other problems, achieve the effect of wide application, easy promotion, and improvement of traffic efficiency

Active Publication Date: 2021-06-11
WUHAN INSTITUTE OF TECHNOLOGY
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Problems solved by technology

The three elements in the evaluation of intersections are efficiency, safety, and stability (Celikoglu). Many existing studies are single-element evaluations, and there are few evaluation methods that combine the three

Method used

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  • Adaptive signal control optimization method for urban main and branch intersection
  • Adaptive signal control optimization method for urban main and branch intersection
  • Adaptive signal control optimization method for urban main and branch intersection

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Embodiment Construction

[0100] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0101] A kind of adaptive signal control optimization method of urban main branch intersection of the present invention, comprises the following steps:

[0102] 1. Fuzzy Control Fuzzy Control

[0103] Fuzzy Control System (FCS) is a control system that uses the basic ideas and theories of fuzzy mathematics, and is a control method that simulates the fuzzy logic thinking of the human brain. The fuzzy control system has good adaptability, so considering the stability of the intersection operation, it is selected as the controller for controlling the cycle length. The fuzzy control system includes four components: fuzzification, fuzzy rules, fuzzy reasoning and clarity. The function of the fuzzy control part is to determine the signal period by inputting two variables that affect the formulation of the signal period.

[0104] 1. Input...

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Abstract

The invention provides an adaptive signal control optimization method for an urban main and branch intersection. The method comprises the following steps: establishing a combined algorithm based on fuzzy control and machine learning, determining a signal period according to a real-time saturation flow rate (RS) and a flow change ratio (RR) of the intersection, and calculating according to a Q-learning algorithm to obtain the green light duration of each phase. The method can adaptively optimize the time length of the signal lamp at the main and branch intersection of the city according to the change of the traffic operation environment, improves the traffic efficiency, safety and stability of the traffic flow at the intersection, saves the manual intervention cost, and is wide in application range and easy to popularize.

Description

technical field [0001] The invention belongs to the technical field of traffic signal timing, and in particular relates to an adaptive signal control optimization method at intersections of urban main branch roads. Background technique [0002] Intersections are the main bottleneck areas that affect road network capacity and cause delays in urban traffic. In addition to the trunk lines that people often use as research objects, branch roads with relatively less traffic are also worthy of research. Most of the branch roads are located in residential areas, and the tide phenomenon is very obvious on weekdays. However, there are few studies on the signal timing of the main branch. Intersection signal control is an important part of urban road traffic, which can effectively improve the operation efficiency of intersections, reduce vehicle delays, alleviate traffic congestion and reduce accident rates. The three elements in the evaluation of intersections are efficiency, safet...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/08G06N20/00G06N3/08
CPCG08G1/08G06N20/00G06N3/08
Inventor 丁乃侃逯兆友卢林盛田壮
Owner WUHAN INSTITUTE OF TECHNOLOGY
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