Multi-objective optimization of urban road intersection signal timing based on particle swarm optimization algorithm

Hongfei Jia,Yongxing Li,Yu Lin,Hongzhi Miao,Qingyu Luo

doi:10.1177/1687814019842498

Hongfei Jia, Yongxing Li + Show 3 more

Open Access

https://doi.org/10.1177/1687814019842498

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Abstract

Currently, signal control mode is the main control method of urban road intersections. Given that the traffic efficiency of road intersections is mainly affected by signal timing schemes, it is imp...

Highlights

Intersections are the key nodes in urban road network
The algorithm is compared with the currently used traffic signal control strategies, and the results show that the algorithm has better control effect
Since the vehicle emission objective is considered, for the first time, we proposed a novel multi-objective signal timing optimization model that contains the above three targets and embodies the most urgent problem to solve while optimizing intersection signal timing

Summary

Introduction

Intersections are the key nodes in urban road network. There are many control forms for different types of road intersections.[1]. We make three contributions: (1) propose a signal timing optimization model with the goals of per capita delay, vehicle emission, and capacity; (2) in order to solve a multi-objective signal timing optimization problem, an improved Particle Swarm Optimization Algorithm (IPSO), which combines DE algorithm and PSO algorithm, is proposed; and (3) a dynamic relaxation strategy, which improves convergence and ensures the uniformity of solution set distribution, is proposed. With the aggravation of automobile exhaust pollution, environmental factors, such as vehicle emissions and vehicle energy consumption, are introduced by some people when designing a signal timing for intersections.[22] Different objectives reflect different goal of intersection signal control.[23] At present, the signal timing methods considering only the total vehicle delay have gradually lost recognition.[24] Many researchers constructed multi-objective mathematical models to obtain the better signal schemes.

Results and discussion

Evaluation index is formulated as

Conclusion