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31.01.2017 | Methodologies and Application

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

verfasst von: Mohammad Reza Jabbarpour, Houman Zarrabi, Rashid Hafeez Khokhar, Shahaboddin Shamshirband, Kim-Kwang Raymond Choo

Erschienen in: Soft Computing | Ausgabe 7/2018

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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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Titel: Applications of computational intelligence in vehicle traffic congestion problem: a survey
verfasst von: Mohammad Reza Jabbarpour
Houman Zarrabi
Rashid Hafeez Khokhar
Shahaboddin Shamshirband
Kim-Kwang Raymond Choo
Publikationsdatum: 31.01.2017
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 7/2018
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-017-2492-z

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