This paper analyzes vehicular speeds at a micro level and studies the relationships between the important elements of speed, namely space mean speed (SMS) and time mean speed (TMS) under heterogeneous traffic conditions. Vehicular speed data were collected at selected road stretches around Delhi, India, in an attempt to understand and model the type of relationships between SMS and TMS under heterogeneous traffic conditions. To demonstrate the superiority of the proposed models, comparisons are made with existing traditional models. The results reveal that the proposed models are consistent in predicting speeds with high accuracy.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Modeling time mean speed and space mean speed for heterogeneous traffic conditions


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    01.12.2011




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Traffic mean speed evaluation in freeway systems

    Magliolo, M. / Bacchi, M. / Sacone, S. et al. | IEEE | 2004


    SAMPLING STRATEGY FOR SPACE MEAN SPEED SURVEY

    Suryo Putranto, Leksmono / Sari, Anita / Ivan Santoso, Bernadus | BASE | 2014

    Freier Zugriff


    Algorithm for Estimating Mean Traffic Speed with Uncalibrated Cameras

    Dailey, Daniel J. / Li, Li | Transportation Research Record | 2000