Review of the fuzzy logic based approach in traffic signal control: prospects in saudi arabia

Rahman Syed-Masiur*, T. Ratrout Nedal

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

61 Scopus citations

Abstract

The first implementation of fuzzy logic controller in the literature appeared in 1977, which shows better performance compared to vehicle actuated controller for a very simplified intersection having two oneway streets based on a simple green time extension principle. After that, further development is taking place by adopting fuzzy logic based traffic signal control for two-way single intersection without turning vehicles, single intersection with all possible movements, multiple intersections, phase sequence and time determination, congested intersection and network, etc. Research in fuzzy logic based traffic signal control is getting inspired by the results which indicate better performance compared to traditional traffic signal controls, specifically during heavy and uneven traffic volume conditions. It can be expected that the fuzzy logic approach will not only contribute in the advancement of adaptive traffic signal control but will also contribute significantly in the future approach of transportation management system (TMS) by improving the performance of the adaptive controller and the overall decision making process of the TMS. However, there are only a few examples of this kind of traffic signal control or TMS in real life. Researchers in rapidly developing countries like Saudi Arabia should investigate the potential of the fuzzy logic based traffic signal control or TMS under the unique local conditions to curb the loss incurred due to congestion.

Original languageEnglish
Pages (from-to)58-70
Number of pages13
JournalJiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology
Volume9
Issue number5
StatePublished - Oct 2009

Keywords

  • Fuzzy logic
  • Heavy traffic volume
  • Traffic signal control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Transportation
  • Computer Science Applications

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