2006•Journal of Highway and Transportation Research and Development (English Edition)Requires access

Research of Traffic Signal Control and Simulation Based on Fuzzy Logic

Lilin Zang, Lei Jia, Zhongqin Lin

Open publisher page 6 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Intersection (aeronautics), Fuzzy logic, Signal timing, SIGNAL (programming language), Traffic flow (computer networking), Traffic signal, Computer science, Fuzzy control system

Related papers

Back to paper searchBrowse research topicsOriginal source
Research of Traffic Signal Control and Simulation Based on Fuzzy Logic — Research Paper | ScholarLens