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

被引：56

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

来源：

SOFT COMPUTING | 2018年 / 22卷 / 07期

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

页码：2299 / 2320

页数：22

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