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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/22505

    Title: Dynamic estimation of freeway origin-destination demand and travel time using extended kalman filtering algorithm
    Authors: Hu, Shou-Ren;Chen, Chi-Bang
    Contributors: 淡江大學運輸管理學系
    Date: 2004-03
    Issue Date: 2009-11-30 14:09:11 (UTC+8)
    Publisher: IEEE
    Abstract: 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.
    Relation: Networking, Sensing and Control, 2004 IEEE International Conference on Vol.2, pp.1329-1334
    DOI: 10.1109/ICNSC.2004.1297140
    Appears in Collections:[Graduate Institute & Department of Transportation Management] Proceeding

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