The knowledge of road traffic parameters is of crucial importance to ensure state-of-the-art traffic services either in public or private transport. In our days, a plethora of road traffic data are continuously collected producing historical and real-time traffic information as well. The available information, however, arrive from inhomogeneous sensor systems. Therefore, a data fusion methodology is proposed based on Switching Kalman Filter. The concept enables efficient travel time estimation for urban road traffic network. On the other hand, the method may contribute to a better macroscopic traffic modelling.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Road Traffic Measurement and Related Data Fusion Methodology for Traffic Estimation


    Contributors:

    Published in:

    Publication date :

    2014


    Size :

    11 Seiten, 24 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Road Traffic Measurement and Related Data Fusion Methodology for Traffic Estimation

    Tettamanti Tamás / Horváth Márton Tamás / Varga István | DOAJ | 2014

    Free access

    Road traffic measurement device

    KO YOUNG BOK | European Patent Office | 2022

    Free access

    Traffic Density Estimation under Heterogeneous Traffic Conditions Using Data Fusion

    Anand, A. / Vanajakshi, L. / Subramanian, S. et al. | British Library Conference Proceedings | 2011


    Data fusion in road traffic engineering: an overview

    El Faouzi, Nour-Eddin | SPIE | 2004


    Traffic density estimation under heterogeneous traffic conditions using data fusion

    Anand, R. A. / Vanajakshi, L. / Subramanian, S. C. | IEEE | 2011