Traffic prediction algorithms can help improve the performance of Intelligent Transportation Systems (ITS). To this end, ITS require algorithms with high prediction accuracy. For more robust performance, the traffic systems also require a measure of uncertainty associated with prediction data. Data driven algorithms such as Support Vector Regression (SVR) perform traffic prediction with overall high accuracy. However, they do not provide any information about the associated uncertainty. The prediction error can only be calculated once field data becomes available. Consequently, the applications which use prediction data, remain vulnerable to variations in prediction error. To overcome this issue, we propose Bayesian Support Vector Regression (BSVR). BSVR provides error bars along with the predicted traffic states. We perform sensitivity and specificity analysis to evaluate the efficiency of BSVR in anticipating variations in prediction error. We perform multi-horizon prediction and analyze the performance of BSVR for expressways as well as general road segments.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Bayesian Support Vector Regression for traffic speed prediction with error bars


    Beteiligte:
    Gopi, Gaurav (Autor:in) / Dauwels, Justin (Autor:in) / Asif, Muhammad Tayyab (Autor:in) / Ashwin, Sridhar (Autor:in) / Mitrovic, Nikola (Autor:in) / Rasheed, Umer (Autor:in) / Jaillet, Patrick (Autor:in)


    Erscheinungsdatum :

    01.10.2013


    Format / Umfang :

    860165 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Bayesian Support Vector Regression for traffic speed prediction with error bars

    Gopi, Gaurav / Dauwels, Justin H. G. / Asif, Muhammad Tayyab et al. | DSpace@MIT | 2013

    Freier Zugriff


    Short-term Traffic Prediction Based-on Support Vector Regression

    Urkan, Osman Dogukan / Cetin, Meric | IEEE | 2022


    Traffic Incident Duration Prediction Based on Support Vector Regression

    Wu, Wei-wei / Chen, Shu-yan / Zheng, Chang-jiang | ASCE | 2011


    Short-Term Traffic Flow Prediction Based on Lagrange Support Vector Regression

    Liu, Yanzhong / Li, Xuhong / Shao, Xiaojian | ASCE | 2007