Latent Factor Model 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

	Latent Factor Model for Traffic Signal Control
	Zhao, Yifei1 ; Gao, Hang 2; Lv, Yisheng1 ; Duan, Yanjie1
	2014
会议名称	the 9th IEEE International Conference on Service Operations and Logistics, and Informatics
会议录名称	Proceedings of the 9th IEEE International Conference on Service Operations and Logistics, and Informatics
会议日期	2014-10
会议地点	Qingdao
摘要	The increased ownership of motor vehicles has brought many urban problems, such as traffic congestion, environmental pollution. Traffic signal control is recognized as one of effective ways to alleviate these problems. However, it is still hard to automatically choose appropriate traffic signal timing plans for different traffic conditions due to the dynamics and uncertainty of transportation systems. In this paper, we propose a latent factor model based traffic signal timing plan recommendation method to address this problem. In the proposed method, we model the abstract traffic states as the “users” in recommendation systems, and timing plans as the “items”. And there are many explicit or implicit factors in the interactions between “users” and “items”. The latent factor model is successfully used to deal with uncertain factors which cannot be modeled accurately in math. The novel method adopted the model-free adaptive idea to solve the problem of modeling from the perspective of data mining and machine learning framework. And, the proposed method is tested by using simulation data generated by a microscopic traffic simulator called Paramics. The results are compared to the baseline Webster method. The results indicate that the proposed latent factor model based recommendation method outperforms the Webster method on reducing the delay.
其他摘要	无
关键词	Collaborative Filtering Intelligent Transportation Systems Recommendation System Signal Control
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/11705
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	1.Institute of Automation, Chinese Academy of Sciences 2.Qingdao Academy of Intelligent Industries
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,Gao, Hang,Lv, Yisheng,et al. Latent Factor Model for Traffic Signal Control[C],2014.

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