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  • Bus stop-skipping scheme with random travel time

    Author(s)
    Liu, Zhiyuan
    Yan, Yadan
    Qu, Xiaobo
    Zhang, Yong
    Griffith University Author(s)
    Qu, Xiaobo
    Year published
    2013
    Metadata
    Show full item record
    Abstract
    When a bus is late and behind schedule, the stop-skipping scheme allows the bus vehicle to skip one or more stops to reduce its travel time. The deadheading problem is a special case of the stop-skipping problem, allowing a bus vehicle to skip stops between the dispatching terminal point and a designated stop. At the planning level, the optimal operating plans for these two schemes should be tackled for the benefits of bus operator as well as passengers. This paper aims to propose a methodology for this objective. Thus, three objectives are first proposed to reflect the benefits of bus operator and/or passengers, including ...
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    When a bus is late and behind schedule, the stop-skipping scheme allows the bus vehicle to skip one or more stops to reduce its travel time. The deadheading problem is a special case of the stop-skipping problem, allowing a bus vehicle to skip stops between the dispatching terminal point and a designated stop. At the planning level, the optimal operating plans for these two schemes should be tackled for the benefits of bus operator as well as passengers. This paper aims to propose a methodology for this objective. Thus, three objectives are first proposed to reflect the benefits of bus operator and/or passengers, including minimizing the total waiting time, total in-vehicle travel time and total operating cost. Then, assuming random bus travel time, the stop-skipping is formulated as an optimization model minimizing the weighted sum of the three objectives. The deadheading problem can be formulated via the same minimization model further adding several new constraints. Then, a Genetic Algorithm Incorporating Monte Carlo Simulation is proposed to solve the optimization model. As validated by a numerical example, the proposed algorithm can obtain a satisfactory solution close to the global optimum.
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    Journal Title
    Transportation Research Part C
    Volume
    35
    DOI
    https://doi.org/10.1016/j.trc.2013.06.004
    Subject
    Information and computing sciences
    Engineering
    Transport engineering
    Commerce, management, tourism and services
    Publication URI
    http://hdl.handle.net/10072/55658
    Collection
    • Journal articles

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