Dynamic estimation of freeway origin-destination demand and travel time using extended kalman filtering algorithm

淡江大學機構典藏 > 商管學院 > 運輸管理學系暨研究所 > 會議論文 > Item 987654321/22505

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題名:	Dynamic estimation of freeway origin-destination demand and travel time using extended kalman filtering algorithm
作者:	Hu, Shou-Ren;Chen, Chi-Bang
貢獻者:	淡江大學運輸管理學系
日期:	2004-03
上傳時間:	2009-11-30 14:09:11 (UTC+8)
出版者:	IEEE
摘要:	In the present research, a nonlinear Kalman filtering approach, i.e., extended Kalman filter (EKF) was proposed to solve dynamic OD flows and travel times on a freeway segment. The non-linearity results from the facts that the coefficient matrices in the measurement equation of the Kalman filtering framework are unknown in advance and needed to be obtained/updated in light of the most recent observations. The numerical results demonstrated the capability of the proposed EKF model in the dynamic estimation of freeway OD demands and travel times. More significantly, one can design beneficial traffic control and management strategies in accordance with the estimation results.
關聯:	Networking, Sensing and Control, 2004 IEEE International Conference on Vol.2, pp.1329-1334
DOI:	10.1109/ICNSC.2004.1297140
顯示於類別:	[運輸管理學系暨研究所] 會議論文

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