Dynamic estimation and prediction of freeway O-D matrices with route switching considerations and time-dependent model parameters

Samer Madanat, Shou Ren Hu, James V. Krogmeier

    Research output: Contribution to journalArticle

    Abstract

    An enhanced Kalman Filtering algorithm for the dynamic estimation and prediction of freeway origin-and-destination (O-D) matrices is presented. The effects of traffic congestion and traffic diversion information on the O-D distribution pattern are explicitly captured through a behavioral model of route switching. Moreover, in view of the time-varying nature of traffic variables, 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 and prediction of dynamic freeway O-D demands.

    Original languageEnglish (US)
    Pages (from-to)98-105
    Number of pages8
    JournalTransportation Research Record
    Issue number1537
    DOIs
    Publication statusPublished - Jan 1 1996

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    ASJC Scopus subject areas

    • Civil and Structural Engineering
    • Mechanical Engineering

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