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dc.contributor.authorRescot, Robert Andreweng
dc.contributor.corporatenameUniversity of Missouri-Columbia. Office of Undergraduate Researcheng
dc.contributor.meetingnameUndergraduate Research and Creative Achievements Forum (2005 : University of Missouri--Columbia)eng
dc.date.issued2005eng
dc.descriptionFaculty Mentor: Dr. Carlos Sun, Civil Engineeringeng
dc.descriptionAbstract only availableeng
dc.description.abstractEvaluation of today's complex highway systems to plan the systems of tomorrow requires an understanding of the characteristics that are presently occurring. One measure that is often neglected is the in depth evaluation of peak traffic flow characteristics. Through the collection of original traffic data over a several month period using high resolution video cameras to collect reliable data that can be fused with other data sources to build a validateable model. This model then can be used as a tool for evaluating the impact of potential changes so as to have a politically neutral assessment for transportation decisions.eng
dc.description.sponsorshipMissouri Department of Transportationeng
dc.identifier.urihttp://hdl.handle.net/10355/840eng
dc.publisherUniversity of Missouri--Columbia. Office of Undergraduate Researcheng
dc.relation.ispartof2005 Undergraduate Research and Creative Achievements Forum (MU)eng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Office of Undergraduate Research. Undergraduate Research and Creative Achievements Forumeng
dc.source.urihttp://undergradresearch.missouri.edu/forums-conferences/abstracts/abstract-detail.php?abstractid=350eng
dc.subjecttraffic dataeng
dc.subjectfor transportation decisionseng
dc.titleEvaluating and modeling peak traffic patterens (sic) [abstract]eng
dc.typeAbstracteng


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