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Feasibility of Using In-Vehicle Video Data to Explore How to Modify Driver Behavior That Causes Nonrecurring Congestion: SHRP 2

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dc.contributorVirginia Tech Transportation Instituteen
dc.contributorQueiroz, Cesaren
dc.contributor.authorRakha, Hesham A.en
dc.contributor.authorDu, Jianheen
dc.contributor.authorPark, Sangjunen
dc.contributor.authorGuo, Fengen
dc.contributor.authorDoerzaph, Zachary R.en
dc.contributor.authorViita, Dereken
dc.contributor.authorGolembiewski, Gary A.en
dc.contributor.authorKatz, Bryan J.en
dc.contributor.authorKehoe, Nicholasen
dc.contributor.authorRigdon, H.en
dc.date.accessed2015-06-29en
dc.date.accessioned2015-07-31T20:05:15Zen
dc.date.available2015-07-31T20:05:15Zen
dc.date.issued2011en
dc.description.abstractNonrecurring congestion is traffic congestion due to nonrecurring causes, such as crashes, disabled vehicles, work zones, adverse weather events, and planned special events. According to data from the Federal Highway Administration (FHWA), approximately half of all congestion is caused by temporary disruptions that remove part of the roadway from use, or "nonrecurring" congestion. These nonrecurring events dramatically reduce the available capacity and reliability of the entire transportation system. The objective of this project is to determine the feasibility of using in-vehicle video data to make inferences about driver behavior that would allow investigation of the relationship between observable driver behavior and nonrecurring congestion to improve travel time reliability. The data processing flow proposed in this report can be summarized as (1) collect data, (2) identify driver behavior, (3) identify correctable driver behavior, and (4) model travel time reliability, as shown in Figure ES.1.en
dc.description.sponsorshipUnited States. Federal Highway Administrationen
dc.format.extent127 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRakha, H. A., Du, J., Park, S., Guo, F., Doerzaph, Z. R., Viita, D., Golembiewski, G. A., Katz, B., Kehoe, N., & Rigdon, H. (2011). Feasibility of using in-vehicle video data to explore how to modify driver behavior that causes nonrecurring congestion: Shrp 2. (FHWA-JPO-04-081//NTIS-PB2003100296). Washington, DC: National Research Council (U.S.). Transportation Research Board. Retrieved from http://onlinepubs.trb.org/onlinepubs/shrp2/SHRP2_S2-L10-RR-1.pdf.en
dc.identifier.govdocS2-L10-RR-01en
dc.identifier.urihttp://hdl.handle.net/10919/55099en
dc.identifier.urlhttp://onlinepubs.trb.org/onlinepubs/shrp2/SHRP2_S2-L10-RR-1.pdfen
dc.language.isoenen
dc.publisherNational Research Council (U.S.). Transportation Research Boarden
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectData and information technologyen
dc.subjectHighwaysen
dc.subjectOperations and traffic management safetyen
dc.subjectHuman factorsen
dc.titleFeasibility of Using In-Vehicle Video Data to Explore How to Modify Driver Behavior That Causes Nonrecurring Congestion: SHRP 2en
dc.typeGovernment documenten
dc.type.dcmitypeTexten

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