Computational Intelligence in Urban Traffic Signal Control: A Survey

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	Computational Intelligence in Urban Traffic Signal Control: A Survey
	Zhao, Dongbin; Dai, Yujie; Zhang, Zhen
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
	2012-07-01
卷号	42 期号:4 页码:485-494
文章类型	Review
摘要	Urban transportation system is a large complex nonlinear system. It consists of surface-way networks, freeway networks, and ramps with a mixed traffic flow of vehicles, bicycles, and pedestrians. Traffic congestions occur frequently, which affect daily life and pose all kinds of problems and challenges. Alleviation of traffic congestions not only improves travel safety and efficiencies but also reduces environmental pollution. Among all the solutions, traffic signal control (TSC) is commonly thought as the most important and effective method. TSC algorithms have evolved quickly, especially over the past several decades. As a result, several TSC systems have been widely implemented in the world, making TSC a major component of intelligent transportation system (ITS). In TSC and ITS, many new technologies can be adopted. Computational intelligence (CI), which mainly includes artificial neural networks, fuzzy systems, and evolutionary computation algorithms, brings flexibility, autonomy, and robustness to overcome nonlinearity and randomness of traffic systems. This paper surveys some commonly used CI paradigms, analyzes their applications in TSC systems for urban surface-way and freeway networks, and introduces current and potential issues of control and management of recurrent and nonrecurrent congestions in traffic networks, in order to provide valuable references for further research and development.
关键词	Computational Intelligence (Ci) Freeway Network Surface-way Network Traffic Congestions Traffic Signal Control (Tsc)
WOS标题词	Science & Technology ; Technology
关键词[WOS]	FUZZY-LOGIC-CONTROLLER ; TRANSPORTATION SYSTEMS ; NEURAL-NETWORKS ; INTEGRATED CONTROL ; MANAGEMENT ; INTERSECTION ; ALGORITHM ; JUNCTIONS ; AGENTS ; MODEL
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Computer Science, Interdisciplinary Applications
WOS记录号	WOS:000305584800004
引用统计	被引频次：185[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3844
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
作者单位	Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100190, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Zhao, Dongbin,Dai, Yujie,Zhang, Zhen. Computational Intelligence in Urban Traffic Signal Control: A Survey[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS,2012,42(4):485-494.
APA	Zhao, Dongbin,Dai, Yujie,&Zhang, Zhen.(2012).Computational Intelligence in Urban Traffic Signal Control: A Survey.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS,42(4),485-494.
MLA	Zhao, Dongbin,et al."Computational Intelligence in Urban Traffic Signal Control: A Survey".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS 42.4(2012):485-494.