Linear Regression Crash Prediction Models : Issues and Proposed Solutions

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dc.contributorVirginia Tech Transportation Instituteen
dc.contributorSmadi, Omaren
dc.contributor.authorRakha, Hesham A.en
dc.contributor.authorArafeh, Mohamadrezaen
dc.contributor.authorAbdel-Salam, Abdel-Salam Gomaaen
dc.contributor.authorGuo, Fengen
dc.contributor.authorFlintsch, Alejandra Medinaen
dc.date.accessed2015-06-30en
dc.date.accessioned2015-07-31T20:05:16Zen
dc.date.available2015-07-31T20:05:16Zen
dc.date.issued2010-05en
dc.description.abstractThe paper develops a linear regression model approach that can be applied to crash data to predict vehicle crashes. The proposed approach involves novice data aggregation to satisfy linear regression assumptions namely error structure normality and homoscedasticity. The proposed approach is tested and validated using data from 186 access road sections in the state of Virginia. The approach is demonstrated to produce crash predictions consistent with traditional negative binomial and zero inflated negative binomial general linear models. It should be noted however that further testing of the approach on other crash datasets is required to further validate the approach.en
dc.description.sponsorshipVirginia. Department of Transportationen
dc.format.extent21 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRakha, H. A., Arafeh, M., Abdel-Salam, A.-S. G., Guo, F., & Flintsch, A. M. (2010). Linear regression crash prediction models : Issues and proposed solutions. (MAUTC-2009-01 VT). Blacksburg, VA: Virginia Tech Transportation Institute. Retrieved from http://ntl.bts.gov/lib/47000/47000/47020/VT-2008-02.pdf.en
dc.identifier.govdocVT-2008-02en
dc.identifier.urihttp://hdl.handle.net/10919/55103en
dc.identifier.urlhttp://ntl.bts.gov/lib/47000/47000/47020/VT-2008-02.pdfen
dc.language.isoenen
dc.publisherVirginia Tech. Virginia Tech Transportation Instituteen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectLinear regression analysisen
dc.subjectAccident dataen
dc.subjectTraffic accidentsen
dc.subjectMathematical predictionen
dc.subjectAccident risk forecastingen
dc.subjectTraffic accidentsen
dc.subjectTraffic safetyen
dc.subjectRegression analysis--mathematical modelsen
dc.subjectAccidentsen
dc.subjectHighway safetyen
dc.titleLinear Regression Crash Prediction Models : Issues and Proposed Solutionsen
dc.typeGovernment documenten
dc.type.dcmitypeTexten

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