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dc.contributorVirginia Polytechnic Institute and State University. Transportation Instituteen
dc.contributorNational Surface Transportation Safety Center for Excellenceen
dc.contributor.authorCannon, Brad R.en
dc.contributor.authorMcLaughlin, Shane B.en
dc.contributor.authorHankey, Jonathan M.en
dc.description.abstractBy employing the functionality of GIS, code was written which allows for an automated process to compare the GPS data recorded in the naturalistic driving data with geographic map data from the U.S. Census Bureau and road data from various sources, such as state departments of transportation or other providers. Points recorded in the naturalistic driving data which fall outside the boundaries of the Census Bureau's urbanized Areas or urban Clusters are determined to be rural. The points are further evaluated to determine whether or not the vehicle was being driven on an interstate highway. Points that are determined to be rural and not on interstate highways are segments of interest in addressing the rural road crash problem.en
dc.description.statementofresponsibilityBrad R. Cannon, Shane B. McLaughlin and Jonathan M. Hankeyen
dc.format.extentix, 27 pagesen
dc.publisherVirginia Tech. Virginia Tech Transportation Instituteen
dc.rightsCreative Commons CC0 1.0 Universal Public Domain Dedicationen
dc.subject.lccHE5614 .M44 2009eben
dc.subject.lcshTraffic accidents -- Data processingen
dc.subject.lcshAutomobile driving -- Evaluation -- Data processingen
dc.titleMethod for identifying rural, urban, and interstate driving in naturalistic driving data : final reporten

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