Abstract For most Origin–Destination (OD) matrix estimation methods, a priori information in the form of a matrix (so-called a priori matrix) is necessary as an initial guess. In the estimation process, this matrix is updated with traffic counts until a final estimated matrix has been found. The more this a priori matrix matches the real matrix, the better the final outcome of the estimation will be.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Dynamic Origin–Destination Matrix Estimation Using Probe Vehicle Data as A Priori Information


    Contributors:


    Publication date :

    2010-01-01


    Size :

    20 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Dynamic Origin-Destination Matrix Estimation Using Probe Vehicle Data as A Priori Information

    Asmundsdottir, R. / Chen, Y. / van Zuylen, H.J. | British Library Conference Proceedings | 2010


    Bilevel Generalized Least Squares Estimation of Dynamic Origin–Destination Matrix for Urban Network with Probe Vehicle Data

    Cao, Peng / Miwa, Tomio / Yamamoto, Toshiyuki et al. | Transportation Research Record | 2013



    Origin-Destination Estimation Using Probe Vehicle Trajectory and Link Counts

    Xianfeng Yang / Yang Lu / Wei Hao | DOAJ | 2017

    Free access

    Dynamic Origin-Destination Demand Estimation Using Automatic Vehicle Identification Data

    National Research Council (U.S.) | British Library Conference Proceedings | 2005