Research of Traffic Signal Control and Simulation Based on Fuzzy Logic
Lilin Zang, Lei Jia, Zhongqin Lin
Abstract
Lilin Zang, Lei Jia, Zhongqin Lin
Abstract
A signal control algorithm based on fuzzy logic by optimizing the phases’ order of traffic signal is presented. Compared with traditional signal fuzzy control algorithm, the proposed algorithm possesses flexible phase combination and less delay time, it can make full use of green time, to handle imbalance of traffic flow and adapt to the real-time change of traffic status very well at an intersection. The simulation results indicate the presented control algorithm in the paper could reduce vehicles’ mean delay time greatly, it is a practicable and useful method for urban intelligent traffic control.
OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
A signal control algorithm based on fuzzy logic by optimizing the phases’ order of traffic signal is presented. Compared with traditional signal fuzzy control algorithm, the proposed algorithm possesses flexible phase combination and less delay time, it can make full use of green time, to handle imbalance of traffic flow and adapt to the real-time change of traffic status very well at an intersection. The simulation results indicate the presented control algorithm in the paper could reduce vehicles’ mean delay time greatly, it is a practicable and useful method for urban intelligent traffic control.
Key concepts: Intersection (aeronautics), Fuzzy logic, Signal timing, SIGNAL (programming language), Traffic flow (computer networking), Traffic signal, Computer science, Fuzzy control system