Estimation of Dynamic Assignment Matrices and OD Demands Using Adaptive Kalman Filtering

淡江大學機構典藏 > 商管學院 > 運輸管理學系暨研究所 > 期刊論文 > Item 987654321/20551

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題名:	Estimation of Dynamic Assignment Matrices and OD Demands Using Adaptive Kalman Filtering
作者:	胡守任;Hu, Shou-ren;Madanat, S. M.;Krogmeier, J. V.;Peeta, S.
貢獻者:	淡江大學運輸管理學系
關鍵詞:	Adaptive niters;Kalman Filtering;Optimal estimation;Origin-destination demands;Traffic simulator
日期:	2001-01-01
上傳時間:	2009-11-30 12:51:33 (UTC+8)
出版者:	Taylor & Francis
摘要:	The purpose of this research was to develop a dynamic model for the on-line estimation and prediction of freeway users’ origin-destination (OD) matrices. In this paper, we present a Kalman Filtering algorithm that uses time-varying assignment matrices generated by using a mesoscopic traffic simulator. The use of a traffic simulator to predict time-varying travel time model parameters was shown to be promising for the determination of dynamic OD matrices for a freeway system. Moreover, the issues of using time-varying model parameters, effects of incorporating different sources of measurements and the use of adaptive estimation are addressed and investigated in this research.
關聯:	Journal of Intelligent Transportation Systems 6(3), pp.281-300
DOI:	10.1080/10248070108903696
顯示於類別:	[運輸管理學系暨研究所] 期刊論文

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