TY - JOUR
T1 - Applications of computational intelligence in vehicle traffic congestion problem
T2 - A survey
AU - Jabbarpour, Mohammad Reza
AU - Zarrabi, Houman
AU - Khokhar, Rashid Hafeez
AU - Shamshirband, Shahaboddin
AU - Choo, Kim-Kwang Raymond
N1 - Includes bibliographical references.
PY - 2018/4
Y1 - 2018/4
N2 - 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.
AB - 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.
KW - Computational intelligence
KW - Intelligent transportation system
KW - Vehicle traffic congestion problem
KW - Vehicle traffic routing systems
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U2 - 10.1007/s00500-017-2492-z
DO - 10.1007/s00500-017-2492-z
M3 - Article
AN - SCOPUS:85011009016
SN - 1432-7643
VL - 22
SP - 2299
EP - 2320
JO - Soft Computing
JF - Soft Computing
IS - 7
ER -