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	Model and algorithm of dynamic origin-destination flows estimation based on extended Kalman filtering
	Jiao Peng-peng ; Lu Hua-pu ; Yang Lang
	2010-05-10 ; 2010-05-10
会议名称	Proceedings of 2005 Chinese Control and Decision Conference, Vols 1 and 2 ; 17th Chinese Control and Decision Conference ; Harbin, PEOPLES R CHINA ; Web of Science
关键词	dynamic O-D flows estimation split parameter state variable extended Kalman filtering Automation & Control Systems Computer Science, Artificial Intelligence
中文摘要	Real-time origin-destination (O-D) flows between entry and exit ramps of freeway corridors are difficult to get. The main line traffic volume is introduced into system equations. By taking into account two types of state variables: dynamic split parameter and influence factor of travel time, a state-space model is put forward, which is solved by using extended Kalman filtering. Simulation experiments show that the model and algorithm are efficient and accurate, can reflect the influence of traffic congestion, and can be applied in on-line systems.
会议录出版者	NORTHEASTERN UNIV SHENGYANG ; SHENGYANG ; PO BOX 125, SHENGYANG, 110004, PEOPLES R CHINA
语种	中文 ; 中文
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/20030]
专题	清华大学
推荐引用方式 GB/T 7714	Jiao Peng-peng,Lu Hua-pu,Yang Lang. Model and algorithm of dynamic origin-destination flows estimation based on extended Kalman filtering[C]. 见:Proceedings of 2005 Chinese Control and Decision Conference, Vols 1 and 2, 17th Chinese Control and Decision Conference, Harbin, PEOPLES R CHINA, Web of Science.

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