Parallel Management for Traffic Signal Control

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Parallel Management for Traffic Signal Control
	Zhao, Yifei; Kong, Qingjie; Gao, Hang; Zhu, Fenghua; Wang, Feiyue
	2014
会议名称	the 17th IEEE International Conference on Intelligent Transportation Systems
会议录名称	Proceedings of the 17th IEEE International Conference on Intelligent Transportation Systems
会议日期	2014-10
会议地点	Qingdao
摘要	With the rapid growth of the number of urban vehicles, it will be not advisable to alleviate traffic congestion by changing the traffic facilities only. And the traditional control strategies for single intersection or regional multiple intersections have been confirmed to have some effect in the past few decades, but still need to be improved. Based on ACP (Artificial societies, Computational experiments, Parallel execution) idea, we firstly proposed the concept of “event agent” in this paper, which refers to the ratings that traffic states give corresponding timing plans. Based on event agent, we used computational methods to establish a Parallel transportation Management Systems (PtMS), which was a self-completing system. In the system plenty of artificial events were generated, and some of them can not only simulate the actual traffic events, but also be substitutes for the actual events. Then through the parallel execution between actual and artificial events, the system recommends the most suitable timing plans to the current traffic state. Different from traditional control strategies, event agent based PtMS takes results as an orientation according to the idea of data-driven, which is more adaptive to the characteristics of transportation systems. For ensuring the validity and accuracy of experiments, our related data are all based on the famous traffic micro-simulation software Paramics. Furthermore, we compared our method with the classic Webster method, and experiments achieved good results.
其他摘要	无
关键词	Collaborative Filtering Intelligent Transportation Systems Recommendation System Signal Control
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/11704
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Zhao, Yifei
作者单位	Institute of Automation, Chinese Academy of Sciences
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Zhao, Yifei,Kong, Qingjie,Gao, Hang,et al. Parallel Management for Traffic Signal Control[C],2014.

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