Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89957
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dc.contributorDepartment of Electrical Engineeringen_US
dc.creatorShen, Men_US
dc.creatorGu, Wen_US
dc.creatorHu, Sen_US
dc.creatorCheng, Hen_US
dc.date.accessioned2021-05-13T08:33:00Z-
dc.date.available2021-05-13T08:33:00Z-
dc.identifier.issn0191-2615en_US
dc.identifier.urihttp://hdl.handle.net/10397/89957-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2019 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Shen, M., Gu, W., Hu, S., & Cheng, H. (2019). Capacity approximations for near- and far-side bus stops in dedicated bus lanes. Transportation Research Part B: Methodological, 125, 94-120 is available at https://doi.org/10.1016/j.trb.2019.04.010.en_US
dc.subjectBus queuesen_US
dc.subjectBus-stop capacityen_US
dc.subjectFar-side bus stopsen_US
dc.subjectNear-side bus stopsen_US
dc.subjectTandem queuesen_US
dc.titleCapacity approximations for near- and far-side bus stops in dedicated bus lanesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage94en_US
dc.identifier.epage120en_US
dc.identifier.volume125en_US
dc.identifier.doi10.1016/j.trb.2019.04.010en_US
dcterms.abstractWe develop analytical approximations for the bus-carrying capacities at near- and far-side stops with one or multiple curbside berths where buses operate in a dedicated bus lane. The approximations are derived using time-space diagrams of bus trajectories and probabilistic methods. They correctly account for the effects of key operating factors that were ignored or incorrectly addressed by previous methods. These factors include the signal timing and the distance between stop and signal. Comparison against computer simulation shows that our models furnish much more accurate estimates for near- and far-side stop capacities than previous methods in the literature. Numerical case studies are performed to examine how the stop capacity is affected by various operating factors. New findings and their practical implications are discussed.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportation research. Part B, Methodological, July 2019, v. 125, p. 94-120en_US
dcterms.isPartOfTransportation research. Part B, Methodologicalen_US
dcterms.issued2019-07-
dc.identifier.scopus2-s2.0-85065180449-
dc.identifier.eissn1879-2367en_US
dc.description.validate202105 bcvcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0783-n08-
dc.identifier.SubFormID1707-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextRGC: Early Career Scheme 25200614en_US
dc.description.fundingTextOthers: P0001008en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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