Identification of factors related to violation propensity: mining the data of the Franklin intersections

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dc.contributor.authorDoerzaph, Zachary R.en
dc.contributor.authorBhagavathula, Rajaramen
dc.coverage.cityChristiansburg (Va.)‏en
dc.coverage.countryUnited Statesen
dc.coverage.stateVirginiaen
dc.date.accessioned2013-07-18T18:10:18Zen
dc.date.available2013-07-18T18:10:18Zen
dc.date.issued2011-02-04en
dc.description.abstractThis report describes an investigation of factors related to the prevalence of red-light violations at signalized intersections. A sample of 3,000 violators were compared to a matched set of compliant vehicle approaches using a logistic regression model. The focus was on identifying and exploring causal factors with the aim of assisting efforts to discover potential strategies for mitigation.en
dc.description.statementofresponsibilityZachary R. Doerzaph and Rajaram Bhagavathulaen
dc.format.extentx, 42 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.oclc715271531en
dc.identifier.other11-UT-008en
dc.identifier.urihttp://hdl.handle.net/10919/7404en
dc.identifier.urlhttp://scholar.lib.vt.edu/VTTI/reports/ViolationPropensityFactors_02042011.pdfen
dc.language.isoenen
dc.publisherNational Surface Transportation Safety Center for Excellenceen
dc.relation.ispartofseriesNSTSCE;11-UT-008en
dc.rightsIn Copyright (InC)en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccHE5614 .D64 2011eben
dc.subject.lcshRed light running -- Virginia -- Christiansburgen
dc.subject.lcshTraffic monitoring -- Virginia -- Christiansburgen
dc.titleIdentification of factors related to violation propensity: mining the data of the Franklin intersectionsen
dc.typeReporten
dc.type.dcmitypeTexten

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