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.


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    Title :

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


    Contributors:
    Yan, Yadan (author) / Liu, Zhiyuan (author) / Meng, Qiang (author) / Jiang, Yu (author)

    Published in:

    Publication date :

    2013-01-05


    Size :

    102013-01-01 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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