Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.trc.2013.08.007
DC FieldValue
dc.titleBus dwell time estimation at bus bays: A probabilistic approach
dc.contributor.authorMeng, Q.
dc.contributor.authorQu, X.
dc.date.accessioned2014-06-17T05:29:10Z
dc.date.available2014-06-17T05:29:10Z
dc.date.issued2013-11
dc.identifier.citationMeng, Q., Qu, X. (2013-11). Bus dwell time estimation at bus bays: A probabilistic approach. Transportation Research Part C: Emerging Technologies 36 : 61-71. ScholarBank@NUS Repository. https://doi.org/10.1016/j.trc.2013.08.007
dc.identifier.issn0968090X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/58977
dc.description.abstractThe 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". © 2013 Elsevier Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.trc.2013.08.007
dc.sourceScopus
dc.subjectBus bays
dc.subjectBus dwell time
dc.subjectGap acceptance theory
dc.subjectRegenerative process
dc.typeArticle
dc.contributor.departmentCIVIL & ENVIRONMENTAL ENGINEERING
dc.description.doi10.1016/j.trc.2013.08.007
dc.description.sourcetitleTransportation Research Part C: Emerging Technologies
dc.description.volume36
dc.description.page61-71
dc.identifier.isiut000327912800006
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