In many Intelligent Transportation System (ITS) applications that crowd-source data from probe vehicles, a crucial step is to accurately map the GPS trajectories to the road network in real time. This process, known as map-matching, often needs to account for noise and sparseness of the data because (1) highly precise GPS traces are rarely available, and (2) dense trajectories are costly for live transmission and storage.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Online map-matching based on Hidden Markov model for real-time traffic sensing applications


    Beteiligte:
    Goh, C.Y. (Autor:in) / Dauwels, J. (Autor:in) / Mitrovic, N. (Autor:in) / Asif, M. T. (Autor:in) / Oran, A. (Autor:in) / Jaillet, P. (Autor:in)


    Erscheinungsdatum :

    2012-09-01


    Format / Umfang :

    647305 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Online map-matching based on Hidden Markov model for real-time traffic sensing applications

    Goh, C. Y. / Dauwels, Justin H. G. / Mitrovic, Nikola et al. | DSpace@MIT | 2012

    Freier Zugriff

    An Online Map Matching Algorithm Based on Second-Order Hidden Markov Model

    Xiao Fu / Jiaxu Zhang / Yue Zhang | DOAJ | 2021

    Freier Zugriff

    Freeway traffic flow prediction based on hidden Markov model

    Jiang, Jiyang / Guo, Tangyi / Pan, Weipeng et al. | British Library Conference Proceedings | 2022



    Urban GPS road network matching method based on hidden Markov model

    SONG YUCHEN / ZHAO JUANJUAN / GAO XITONG et al. | Europäisches Patentamt | 2023

    Freier Zugriff