Estimation of dynamic assignment matrices and OD demands using adaptive Kalman filtering

Shou Ren Hu, Samer Madanat, James V. Krogmeier, Srinivas Peeta

    Research output: Contribution to journalArticle

    Abstract

    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.

    Original languageEnglish (US)
    Pages (from-to)281-300
    Number of pages20
    JournalITS Journal
    Volume6
    Issue number3
    StatePublished - Dec 1 2001

    Fingerprint

    Adaptive Filtering
    Kalman Filtering
    Time-varying
    Assignment
    Highway systems
    Simulator
    Simulators
    Traffic
    Adaptive Estimation
    Travel Time
    Travel time
    Dynamic models
    Dynamic Model
    Predict
    Prediction
    Model
    Kalman filtering
    Destination

    Keywords

    • Adaptive filters
    • Kalman Filtering
    • Optimal estimation
    • Origin-destination demands
    • Traffic simulator

    ASJC Scopus subject areas

    • Strategy and Management
    • Management Science and Operations Research
    • Automotive Engineering
    • Mechanical Engineering

    Cite this

    Hu, S. R., Madanat, S., Krogmeier, J. V., & Peeta, S. (2001). Estimation of dynamic assignment matrices and OD demands using adaptive Kalman filtering. ITS Journal, 6(3), 281-300.

    Estimation of dynamic assignment matrices and OD demands using adaptive Kalman filtering. / Hu, Shou Ren; Madanat, Samer; Krogmeier, James V.; Peeta, Srinivas.

    In: ITS Journal, Vol. 6, No. 3, 01.12.2001, p. 281-300.

    Research output: Contribution to journalArticle

    Hu, SR, Madanat, S, Krogmeier, JV & Peeta, S 2001, 'Estimation of dynamic assignment matrices and OD demands using adaptive Kalman filtering', ITS Journal, vol. 6, no. 3, pp. 281-300.
    Hu SR, Madanat S, Krogmeier JV, Peeta S. Estimation of dynamic assignment matrices and OD demands using adaptive Kalman filtering. ITS Journal. 2001 Dec 1;6(3):281-300.
    Hu, Shou Ren ; Madanat, Samer ; Krogmeier, James V. ; Peeta, Srinivas. / Estimation of dynamic assignment matrices and OD demands using adaptive Kalman filtering. In: ITS Journal. 2001 ; Vol. 6, No. 3. pp. 281-300.
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