Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19269
DC FieldValueLanguage
dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorLi, X-
dc.creatorLam, WHK-
dc.creatorTam, ML-
dc.date.accessioned2014-12-30T08:39:00Z-
dc.date.available2014-12-30T08:39:00Z-
dc.identifier.issn0733-947X-
dc.identifier.urihttp://hdl.handle.net/10397/19269-
dc.language.isoenen_US
dc.publisherAmerican Society of Civil Engineersen_US
dc.subjectAutomatic vehicle identificationen_US
dc.subjectIntelligent transportation systemsen_US
dc.subjectTraffic managementen_US
dc.subjectTraffic safetyen_US
dc.subjectTraffic surveillanceen_US
dc.titleNew automatic incident detection algorithm based on traffic data collected for journey time estimationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage840-
dc.identifier.epage847-
dc.identifier.volume139-
dc.identifier.issue8-
dc.identifier.doi10.1061/(ASCE)TE.1943-5436.0000566-
dcterms.abstractA new automatic incident detection algorithm based on the available data originally collected for journey time estimation in Hong Kong is proposed in this paper. Instead of installing a greater number of expensive detectors, the proposed algorithm has proved feasible in effective traffic incident detection, with the available data collected by both video traffic detectors and automatic vehicle identification readers. The proposed algorithm extends the previous standard normal deviate algorithm in the aspects of mathematical model, input data, and detection logic. Two new traffic parameters are proposed as indicators of incidents. They are the coefficient of variation of speed at the upstream detector and the correlation coefficient of speeds of two adjacent detectors. Historical traffic and accident data on an urban road in Hong Kong are used for calibration and validation of the proposed algorithm. This proposed algorithm outperforms five existing algorithms based on the available data for journey time estimation in Hong Kong. It is expected that the proposed algorithm could be used for incident detection in cities even when data are collected only for journey time estimation.-
dcterms.bibliographicCitationJournal of transportation engineering, 2013, v. 139, no. 8, p. 840-847-
dcterms.isPartOfJournal of transportation engineering-
dcterms.issued2013-
dc.identifier.scopus2-s2.0-84881234537-
dc.identifier.eissn1943-5436-
dc.identifier.rosgroupidr72367-
dc.description.ros2013-2014 > Academic research: refereed > Publication in refereed journal-
Appears in Collections:Journal/Magazine Article
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