The design of urban bus transit systems aims to determine a network configuration with a set of bus lines and associated frequencies that achieve the targeted objective. This paper presents a methodology framework to formulate and solve the bus transit network design problem (TNDP). It first proposes a TNDP taking into account the travel time stochasticity. A robust optimization model is formulated for the proposed problem, which aims to minimize the sum of the expected value of the operator cost and its variability multiplied by a weighting value. A heuristic solution approach, based on k -shortest path algorithm, simulated annealing algorithm, Monte Carlo simulation, and probit-type discrete choice model, is subsequently developed to solve the robust optimization model. Finally, the proposed methodology is applied to a numerical example.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Robust Optimization Model of Bus Transit Network Design with Stochastic Travel Time


    Beteiligte:
    Yan, Yadan (Autor:in) / Liu, Zhiyuan (Autor:in) / Meng, Qiang (Autor:in) / Jiang, Yu (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    05.01.2013


    Format / Umfang :

    102013-01-01 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Robust Optimization Model of Bus Transit Network Design with Stochastic Travel Time

    Yan, Y. / Liu, Z. / Meng, Q. et al. | British Library Online Contents | 2013



    Transit network design based on travel time reliability

    Yao, Baozhen | Online Contents | 2014



    Two-Stage Stochastic Programming Model for Robust Personal Rapid Transit Network Design

    Zhao, Kangjia / Jin, Jian Gang / Lee, Der-Horng | Transportation Research Record | 2017