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

Authors

Jiajia Liu, 1. Beijing University of Posts and Telecommunications,Beijing 100876,China; ;
Xingquan Zuo, 2. Key Laboratory of Trusted Distributed Computing and Services of Ministry of Education,Beijing 100876,China;

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.

Recommended Citation

Liu, Jiajia and Zuo, Xingquan (2020) "Research on Fuzzy Control and Optimization for Traffic Lights at Single Intersection," Journal of System Simulation: Vol. 32: Iss. 12, Article 12.
DOI: 10.16182/j.issn1004731x.joss.20-FZ0498
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss12/12

First Page

2401

Revised Date

2020-07-17

DOI Link

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

Last Page

2408

CLC

TP391.9

Recommended Citation

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.

DOI

10.16182/j.issn1004731x.joss.20-FZ0498