Bus dwell time estimation at bus bays: a probabilistic approach

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Author(s)
Meng, Qiang
Qu, Xiaobo
Griffith University Author(s)
Year published
2013
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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 ...
View more >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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View more >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".
View less >
Journal Title
Transportation Research Part C: Emerging technologies
Volume
36
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