RT Journal Article ID 4f80dc1b4555fde0 A1 Zhao, Y. H. A1 Li, R. X. A1 Li, J. T1 INTELLIGENT OPTIMAL CONTROL OF URBAN TRAFFIC LIGHTS BASED ON FUZZY CONTROL JF Telecommunications and Radio Engineering JO TRE YR 2020 FD 2020-06-04 VO 79 IS 7 SP 613 OP 621 K1 fuzzy control K1 urban traffic K1 traffic lights K1 intelligent control K1 delay time AB Traffic congestion is an important problem of urban traffic. In this paper, the intelligent optimal control of traffic lights was studied. Firstly, the theory of traffic light control was introduced, then the principle and steps of fuzzy control were analyzed, the fuzzy control method of traffic lights was designed, and the simulation experiment was carried out in MATLAB environment. The results showed that the control effect of the method proposed in this study was good under different traffic flow, the average delay time was reduced by 22.58%, 22.65%, and 6.7%, respectively, and the average queue length was reduced by 35.19%, 31.63%, and 27.92%, respectively. The experimental results show that the proposed method is effective for the intelligent optimal control of traffic lights and has a role in easing traffic congestion, which is worth promotion and application. PB Begell House LK https://www.dl.begellhouse.com/journals/0632a9d54950b268,265995430e4b89e4,4f80dc1b4555fde0.html