Vehicle speed is an important attribute for analysing the utility of a transport mode. The speed relationship between multiple modes of transport is of interest to traffic planners and operators. This paper quantifies the relationship between bus speed and average car speed by integrating Bluetooth data and transit signal priority data from the urban network in Brisbane, Australia. The method proposed in this paper is the first of its kind to relate bus speed and average car speed by integrating multi-source traffic data in a corridor-based method. Three transferable regression models relating not-in-service bus, in-service bus during peak periods and in-service bus during off-peak periods with average car speed are proposed. The models are cross-validated and the interrelationships are significant.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Empirical modelling of the relationship between bus and car speeds on signalised urban networks


    Beteiligte:
    Kieu, Le Minh (Autor:in) / Bhaskar, Ashish (Autor:in) / Chung, Edward (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2015-05-19


    Format / Umfang :

    18 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Modelling signalised urban networks in London - A Strategy Approach

    Robinson, J. / Association for European Transport | British Library Conference Proceedings | 2005


    Urban Streets and Signalised Intersections Accident Prediction Models

    Hamed, M. M. / Al-Masaeid, H. R. | British Library Online Contents | 1996


    Factors affecting accidents at urban signalised junctions

    Taylor, M. C. / Planning and Transport Research and Computation | British Library Conference Proceedings | 1995


    Delay and emissions modelling for signalised intersections

    Zhu, Feng / Lo, Hong K. / Lin, Hong-Zhi | Taylor & Francis Verlag | 2013