Enhanced Kalman Filtering algorithm for dynamic freeway OD matrix estimation and prediction

Samer Madanat, James Krogmeier, Shou Ren Hu

    Research output: Contribution to conferencePaper

    Abstract

    This paper presents an enhanced Kalman Filtering algorithm for the dynamic estimation and prediction of freeway OD matrices. The effects of traffic congestion and traffic diversion information on the OD distribution patterns are explicitly captured through a behavioral model of route switching. In view of time-varying nature of traffic movements, the proposed algorithm updates the model parameters by using on-line traffic measurements. Preliminary simulation results demonstrate the importance of using time-dependent model parameters and accounting for the effect of traffic information in the estimation of dynamic OD demands.

    Original languageEnglish (US)
    Pages423-428
    Number of pages6
    StatePublished - Jan 1 1996
    EventProceedings of the 1995 4th International Conference on Applications of Advanced Technologies in Transportation Engineering - Capri, Italy
    Duration: Jun 27 1995Jun 30 1995

    Other

    OtherProceedings of the 1995 4th International Conference on Applications of Advanced Technologies in Transportation Engineering
    CityCapri, Italy
    Period6/27/956/30/95

    Fingerprint

    Highway systems
    Traffic congestion

    ASJC Scopus subject areas

    • Engineering(all)

    Cite this

    Madanat, S., Krogmeier, J., & Hu, S. R. (1996). Enhanced Kalman Filtering algorithm for dynamic freeway OD matrix estimation and prediction. 423-428. Paper presented at Proceedings of the 1995 4th International Conference on Applications of Advanced Technologies in Transportation Engineering, Capri, Italy, .

    Enhanced Kalman Filtering algorithm for dynamic freeway OD matrix estimation and prediction. / Madanat, Samer; Krogmeier, James; Hu, Shou Ren.

    1996. 423-428 Paper presented at Proceedings of the 1995 4th International Conference on Applications of Advanced Technologies in Transportation Engineering, Capri, Italy, .

    Research output: Contribution to conferencePaper

    Madanat, S, Krogmeier, J & Hu, SR 1996, 'Enhanced Kalman Filtering algorithm for dynamic freeway OD matrix estimation and prediction', Paper presented at Proceedings of the 1995 4th International Conference on Applications of Advanced Technologies in Transportation Engineering, Capri, Italy, 6/27/95 - 6/30/95 pp. 423-428.
    Madanat S, Krogmeier J, Hu SR. Enhanced Kalman Filtering algorithm for dynamic freeway OD matrix estimation and prediction. 1996. Paper presented at Proceedings of the 1995 4th International Conference on Applications of Advanced Technologies in Transportation Engineering, Capri, Italy, .
    Madanat, Samer ; Krogmeier, James ; Hu, Shou Ren. / Enhanced Kalman Filtering algorithm for dynamic freeway OD matrix estimation and prediction. Paper presented at Proceedings of the 1995 4th International Conference on Applications of Advanced Technologies in Transportation Engineering, Capri, Italy, .6 p.
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