This research is focused on the development of a model for estimating arterial travel time by utilizing an automatic vehicle location (AVL) system-equipped bus as a probe vehicle. As an initial achievement, a prototype arterial travel time estimation model, applied to the bus arrival time estimation, was developed. The methodology adopted in this phase of the travel time estimation model was the online parameter adaptation algorithm. Three objectives were identified for this phase of the research. These were: (1) studying dynamics of bus behavior at a single bus stop; (2) extending the dynamics of bus behavior study to multiple bus stops; and (3) developing a prototype bus arrival time prediction model. The prototype travel time estimation was tested and evaluated through the simulation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Proactive travel time predictions under interrupted flow condition


    Beteiligte:
    Sanghoon Bae (Autor:in) / Kachroo, P. (Autor:in)


    Erscheinungsdatum :

    01.01.1995


    Format / Umfang :

    552399 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Proactive Travel Time Predictions Under Interrupted Flow Condition

    Bae, S. / Kachroo, P. / IEEE et al. | British Library Conference Proceedings | 1995


    Proactive travel time predictions under interrupted flow condition

    Bae,S. / Kachroo,P. / Virginia Tech.,IVHS Res.Center of Excellence,US | Kraftfahrwesen | 1995


    Travel Time Distribution under Interrupted Flow and Application to Travel Time Reliability

    Yang, Fan / Yun, Mei-Ping / Yang, Xiao-Guang | Transportation Research Record | 2014