Traffic Light Optimization Based on Modified Webster Function

Author:

Zhang Huizhen12ORCID,Yuan Hongtao1,Chen Youqing1ORCID,Yu Wenlong1,Wang Cheng1,Wang Jing1,Gao Yueer3ORCID

Affiliation:

1. College of Computer Science and Technology, Huaqiao University, Xiamen 361021, China

2. Linewell Software Co., Ltd., Fujian, Quanzhou 362000, China

3. College of Architecture, Huaqiao University, Xiamen 361021, China

Abstract

Intersection traffic lights are a basic means of ensuring the normal operation of road traffic. A good signal timing scheme is essential for improving traffic congestion. To obtain the signal timing scheme of the designated intersection, the method proposed in this article is based on a modified Webster function. The method uses the signal cycle and proportion of green light duration as independent variables to establish the corresponding intersection vehicle delay function. This function is converted from a multiobjective optimization to a single-objective optimization formulation; a modified genetic algorithm is then used to find the optimal solution to this function. The experimental results show that the timing scheme optimized by the improved genetic algorithm can reduce the intersection delay by nearly 15.64%. The proposed traffic signal timing based on the modified Webster function will be of value as an important reference for the optimization of traffic lights at urban intersections.

Funder

Fujian Province Science and Technology Plan

Publisher

Hindawi Limited

Subject

Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering

Reference17 articles.

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3. Real-time Travel Time Estimation with Sparse Reliable Surveillance Information

4. Foresee urban sparse traffic accidents: a spatiotemporal multi-granularity perspective;Y. Zhouzheng;IEEE Transactions on Knowledge and Data Engineering (TKDE),2021

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