Application of metaheuristics in signal optimisation of transportation networks: A comprehensive survey

Shahin Jalili Dargalusani, Samadhi Nallaperuma, Edward Keedwell*, Alex Dawn, Laurence Oakes-Ash

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

With rapid population growth, there is an urgent need for intelligent traffic control techniques in urban transportation networks to improve the network performance. In an urban transportation network, traffic signals have a significant effect on reducing congestion, improving safety, and improving environmental pollution. In recent years, researchers have been applied metaheuristic techniques for signal timing optimisation as one of the practical solution to enhance the performance of the transportation networks. Current study presents a comprehensive survey of such techniques and tools used in signal optimisation of transportation networks, providing a categorisation of approaches, discussion, and suggestions for future research.
Original languageEnglish
Article number100865
JournalSwarm and Evolutionary Computation
Early online date30 Mar 2021
DOIs
Publication statusE-pub ahead of print - 30 Mar 2021

Keywords

  • Signal optimisation
  • Metaheuristics
  • Intelligent control
  • Transportation
  • Network

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