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

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Abstract

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.

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Authors and Affiliations

  1. Iran Telecommunication Research Center (ITRC), Tehran, 14155-3961, Iran

    Mohammad Reza Jabbarpour & Houman Zarrabi

  2. School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, NSW, 2678, Australia

    Rashid Hafeez Khokhar

  3. Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Shahaboddin Shamshirband

  4. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Shahaboddin Shamshirband

  5. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, 78249-0631, USA

    Kim-Kwang Raymond Choo

  6. School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, SA, 5001, Australia

    Kim-Kwang Raymond Choo

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  1. Mohammad Reza Jabbarpour
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  2. Houman Zarrabi
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  3. Rashid Hafeez Khokhar
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Jabbarpour, M.R., Zarrabi, H., Khokhar, R.H. et al. Applications of computational intelligence in vehicle traffic congestion problem: a survey. Soft Comput 22, 2299–2320 (2018). https://doi.org/10.1007/s00500-017-2492-z

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