Computational Intelligence in Urban Traffic Signal Control: A Survey
文献类型：期刊论文
| 作者 | Zhao, Dongbin ; Dai, Yujie; Zhang, Zhen
|
| 刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
 |
| 出版日期 | 2012-07-01 |
| 卷号 | 42期号:4页码:485-494 |
| 关键词 | Computational intelligence (CI) freeway network surface-way network traffic congestions traffic signal control (TSC) |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Computer Science, Interdisciplinary Applications |
| 研究领域[WOS] | Computer Science |
| 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记录号 | WOS:000305584800004 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3844]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队 |
| 作者单位 | Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100190, Peoples R China |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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