Research on Fuzzy Control and Optimization for Traffic Lights at Single Intersection

doi:10.16182/j.issn1004731x.joss.20-FZ0498

Abstract

Abstract: Aiming at the traffic signal control at urban single intersection,a fuzzy control method for traffic lights is presented.The method is based on a four-phase phasing sequence to control the traffic lights at a single intersection.Inputs of the fuzzy controller are the number of vehicles in line and the arrival rate of vehicles,and the output is the green light extension time of the current green light phase.A genetic algorithm (GA) is used to optimize fuzzy rules and membership functions of the fuzzy control system to improve the performance of the fuzzy controller.The fuzzy control method is realized by using Sumo (Simulation of Urban Mobility) simulation software.The Sumo's own control method,the fuzzy control method,and GA based fuzzy control method are simulated and compared.The results show that the GA based fuzzy control method can effectively reduce the average delay time of vehicles and improve the traffic capacity of the intersection.

Key words: traffic signals control, fuzzy control, genetic algorithm, Sumo simulation

CLC Number:

TP391.9

Liu Jiajia, Zuo Xingquan. Research on Fuzzy Control and Optimization for Traffic Lights at Single Intersection[J]. Journal of System Simulation, 2020, 32(12): 2401-2408.

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