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

被引:55
作者
Jabbarpour, Mohammad Reza [1 ]
Zarrabi, Houman [1 ]
Khokhar, Rashid Hafeez [2 ]
Shamshirband, Shahaboddin [3 ,4 ]
Choo, Kim-Kwang Raymond [5 ,6 ]
机构
[1] Iran Telecommun Res Ctr ITRC, Tehran 141553961, Iran
[2] Charles Sturt Univ, Sch Comp & Math, Wagga Wagga, NSW 2678, Australia
[3] Ton Duc Thang Univ, Dept Management Sci & Technol Dev, Ho Chi Minh City, Vietnam
[4] Ton Duc Thang Univ, Fac Informat Technol, Ho Chi Minh City, Vietnam
[5] Univ Texas San Antonio, Dept Informat Syst & Cyber Secur, San Antonio, TX 78249 USA
[6] Univ South Australia, Sch Informat Technol & Math Sci, Adelaide, SA 5001, Australia
关键词
Computational intelligence; Intelligent transportation system; Vehicle traffic congestion problem; Vehicle traffic routing systems; PARTICLE SWARM OPTIMIZATION; MULTIPLE ROUTE SELECTION; ANT COLONY OPTIMIZATION; GENETIC ALGORITHM; COMPREHENSIVE SURVEY; HYBRID; PERFORMANCE; FRAMEWORK;
D O I
10.1007/s00500-017-2492-z
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:2299 / 2320
页数:22
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