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dc.contributor.authorZhang, Jin
dc.contributor.authorQu, XB
dc.contributor.authorYan, YD
dc.date.accessioned2019-06-11T12:33:23Z
dc.date.available2019-06-11T12:33:23Z
dc.date.issued2018
dc.identifier.isbn9780784481523
dc.identifier.doi10.1061/9780784481523.181
dc.identifier.urihttp://hdl.handle.net/10072/385328
dc.description.abstractIt is well acknowledged that the seasonality (dry or rainy seasons) has significant impacts on crashes. Being able to differentiate the crashes that occur because of poor surface conditions (i.e., when the road is wet) is important for the economical use of available resources, as these segments of roads may only require signage and/or resurfacing. However, this effect is always ignored in the traditional black spot identification (BSID) techniques. This paper proposes an improved BSID model by taking into account the wet/dry crash rate ratio. Comparative study based on a high-speed motorway and a relatively low-speed urban arterials road is carried out. Results indicate that the proposed model has good applicability. The impact of rainfall has been minimized on the results of a BSID analysis.
dc.description.peerreviewedYes
dc.publisherAmerican Society of Civil Engineers
dc.relation.ispartofconferencename18th COTA conference International Conference of Transportation Professionals (CICTP2018)
dc.relation.ispartofconferencetitleCICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals
dc.relation.ispartofdatefrom2018-07-05
dc.relation.ispartofdateto2018-07-08
dc.relation.ispartoflocationBeijing, China
dc.relation.ispartofpagefrom1827
dc.relation.ispartofpagefrom10 pages
dc.relation.ispartofpageto1836
dc.relation.ispartofpageto10 pages
dc.subject.fieldofresearchCivil engineering
dc.subject.fieldofresearchcode4005
dc.titleA Comparative Study of Weather Effects on Black Spot Identification for Motorways and Urban Arterials Roads
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.hasfulltextNo Full Text
gro.griffith.authorQu, Xiaobo
gro.griffith.authorZhang, Jin


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