Bus travel time prediction is a vital part for both bus operation optimizing system and information service system. This paper reviews existing bus travel time prediction models and analyzes the strengths and weaknesses of each model. A bus travel time prediction model based on ν - Support Vector Regression is proposed, which uses the departure time of bus from origin stop that can reflect traffic conditions for a certain degree as the input data. The performance of the proposed model is tested it in a case study of Express bus line 104 in Beijing. The result validates the effectiveness and efficiency of the model.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Bus travel time prediction model with ν - support vector regression


    Beteiligte:
    Wang, Jing-nan (Autor:in) / Chen, Xu-mei (Autor:in) / Guo, Shu-xia (Autor:in)


    Erscheinungsdatum :

    01.10.2009


    Format / Umfang :

    791272 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Travel-Time Prediction With Support Vector Regression

    Wu, C.-H. / Ho, J.-M. / Lee, D. T. et al. | British Library Conference Proceedings | 2004


    Travel time prediction with support vector regression

    Chun-Hsin Wu, / Chia-Chen Wei, / Da-Chun Su, et al. | IEEE | 2003


    Travel-time prediction with support vector regression

    Chun-Hsin Wu, / Jan-Ming Ho, / Lee, D.T. | IEEE | 2004


    Travel Time Prediction with Support Vector Regression

    Wu, C.-H. / Wei, C.-C. / Su, D.-C. et al. | British Library Conference Proceedings | 2003


    Urban Arterial Travel Time Prediction Using Support Vector Regression

    Philip, Anna Mary / Ramadurai, Gitakrishnan / Vanajakshi, Lelitha | Springer Verlag | 2018