A new methodology for optimizing transit road space priority at the network level is proposed. Transit vehicles carry large numbers of passengers within congested road space efficiently. This aids justification of transit priority. Almost all studies that have investigated transit priority lanes focus at a link or an arterial road level, and no study has investigated road space allocation for priority from a network perspective. The aim of the proposed approach is to find the optimum combination of exclusive lanes in an existing operational transport network. Mode share is assumed variable, and an assignment is performed for both private and transit traffic. The problem is formulated by using bilevel programming, which minimizes the total travel time. The approach is applied to an example network and the results are discussed. The approach can identify the optimal combination of transit priority lanes and achieve the global optimum of the objective function. Areas for further development are discussed.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    New Methodology for Optimizing Transit Priority at the Network Level


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Mesbah, Mahmoud (Autor:in) / Sarvi, Majid (Autor:in) / Currie, Graham (Autor:in)


    Erscheinungsdatum :

    01.01.2008




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Optimizing Transit Signal Priority Implementation along an Arterial

    Wu, Kan / Guler, S. Ilgin | Transportation Research Record | 2018



    Optimizing phase compression for transit signal priority at isolated intersections

    Xuedong Hua / Wei Wang / Yinhai Wang et al. | DOAJ | 2017

    Freier Zugriff

    Optimizing phase compression for transit signal priority at isolated intersections

    Hua, Xuedong / Wang, Wei / Wang, Yinhai et al. | BASE | 2017

    Freier Zugriff