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  • Bus dwell time estimation at bus bays: a probabilistic approach

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    89020_1.pdf (464.7Kb)
    Author(s)
    Meng, Qiang
    Qu, Xiaobo
    Griffith University Author(s)
    Qu, Xiaobo
    Year published
    2013
    Metadata
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    Abstract
    The conventional data-driven regression approaches cannot be used to formulate the bus dwell time at a bus bay because they are incapable of dealing with the interactions among buses, arrival passengers, and traffic on the shoulder lane. Firstly, this paper points out that the bus dwell time at a bus bay possessed a high degree of uncertainty originating from the merging behaviour of bus to the vehicles in the shoulder lane. Secondly, it develops a novel probabilistic methodology to estimate the bus dwell time, including a standard regenerative stochastic process to model the interactions among buses, arrival passengers, and ...
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    The conventional data-driven regression approaches cannot be used to formulate the bus dwell time at a bus bay because they are incapable of dealing with the interactions among buses, arrival passengers, and traffic on the shoulder lane. Firstly, this paper points out that the bus dwell time at a bus bay possessed a high degree of uncertainty originating from the merging behaviour of bus to the vehicles in the shoulder lane. Secondly, it develops a novel probabilistic methodology to estimate the bus dwell time, including a standard regenerative stochastic process to model the interactions among buses, arrival passengers, and traffic on the shoulder lane. A tangible procedure is also proposed to estimate the mean and variable of the random bus dwell time. A case study is carried out to show the effectiveness of the proposed methodology. Finally, an impact analysis is carried out to demonstrate the significance of an advisory sign "give way to buses".
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    Journal Title
    Transportation Research Part C: Emerging technologies
    Volume
    36
    DOI
    https://doi.org/10.1016/j.trc.2013.08.007
    Copyright Statement
    © 2013 Elsevier Inc. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
    Subject
    Information and computing sciences
    Engineering
    Transport engineering
    Commerce, management, tourism and services
    Publication URI
    http://hdl.handle.net/10072/56224
    Collection
    • Journal articles

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