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dc.contributorVirginia Polytechnic Institute and State University. Transportation Instituteen_US
dc.contributorNational Surface Transportation Safety Center for Excellenceen_US
dc.contributor.authorGuo, Fengen_US
dc.contributor.authorHankey, Jonathan M.en_US
dc.date.accessioned2013-07-18T18:10:19Z
dc.date.available2013-07-18T18:10:19Z
dc.date.issued2009-09-30en_US
dc.identifier.other09-UT-006en_US
dc.identifier.urihttp://hdl.handle.net/10919/7406
dc.description.abstractThis study developed an integrated framework for modeling the safety outcomes of naturalistic driving studies and addressed several critical methodological issues. The results indicate a certain level of discrepancy between the model-based approaches and the crude odds ratios.en_US
dc.description.statementofresponsibilityFeng Guo and Jonathan Hankeyen_US
dc.format.extentxv, 54 pagesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherVirginia Tech. Virginia Tech Transportation Instituteen_US
dc.rightsCreative Commons CC0 1.0 Universal Public Domain Dedicationen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.subject.lccHE5614 .M64 2009eben_US
dc.subject.lcshTraffic safety -- Evaluation -- Data processingen_US
dc.subject.lcshAutomobile driving -- Evaluation -- Data processingen_US
dc.subject.lcshAutomotive event data recorders -- Data processingen_US
dc.titleModeling 100-car safety events: a case-based approach for analyzing naturalistic driving data: final reporten_US
dc.typeReporten_US
dc.identifier.urlhttp://scholar.lib.vt.edu/VTTI/reports/Modeling100CarSafety_Final_041210.pdfen_US
dc.identifier.oclc613970462en_US
dc.type.dcmitypeTexten_US


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Creative Commons CC0 1.0 Universal Public Domain Dedication
License: Creative Commons CC0 1.0 Universal Public Domain Dedication