Soft Computing

, Volume 22, Issue 7, pp 2299–2320 | Cite as

Applications of computational intelligence in vehicle traffic congestion problem: a survey

  • Mohammad Reza Jabbarpour
  • Houman Zarrabi
  • Rashid Hafeez Khokhar
  • Shahaboddin Shamshirband
  • Kim-Kwang Raymond Choo
Methodologies and Application


Vehicle traffic congestion is an increasing concern in metropolitan areas, with negative health, environment and economical implications. In recent times, computational intelligence (CI), a set of nature-inspired computational approaches and algorithms, has been used in vehicle routing and congestion mitigation research (also referred to as CI-based vehicle traffic routing systems—VTRSs). In this paper, we conduct a critique of existing literature on CI-based VTRSs and discuss identified limitations, evaluation process of existing approaches and research trends. We also identify potential research opportunities.


Computational intelligence Intelligent transportation system Vehicle traffic congestion problem Vehicle traffic routing systems 


Compliance with ethical standards

Conflict of interest

All authors declare that they have no conflict of interest.

Ethical standard

This article does not contain any studies with human participants or animals performed by any of the authors.


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Authors and Affiliations

  1. 1.Iran Telecommunication Research Center (ITRC)TehranIran
  2. 2.School of Computing and MathematicsCharles Sturt UniversityWagga WaggaAustralia
  3. 3.Department for Management of Science and Technology Development, Ton Duc Thang UniversityHo Chi Minh CityVietnam
  4. 4.Faculty of Information Technology, Ton Duc Thang UniversityHo Chi Minh CityVietnam
  5. 5.Department of Information Systems and Cyber SecurityThe University of Texas at San AntonioSan AntonioUSA
  6. 6.School of Information Technology and Mathematical SciencesUniversity of South AustraliaAdelaideAustralia

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