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dc.contributor.advisorWalton, C. Michaelen
dc.creatorAung, Lily Kheng-Hwaren
dc.date.accessioned2011-09-29T20:52:18Zen
dc.date.available2011-09-29T20:52:18Zen
dc.date.created2011-08en
dc.date.issued2011-09-29en
dc.date.submittedAugust 2011en
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2011-08-4192en
dc.descriptiontexten
dc.description.abstractActive traffic management is a hot topic for addressing issues of highway congestion. It is the use of intelligent transportation systems to provide real time traffic information on highway conditions. In Austin, the segment of Interstate 35 between Riverside Drive and State Highway 71 experiences both congestion and safety issues. This report provides an introduction into the application of active traffic management through the use of a proposed queue warning system in the area. First, select crash data on the region is highlighted to present the safety conditions, particularly the type of collision and crash severity involved. Next, a proposed queue warning system design is described. This includes a description of the equipment used, methodology for system deployment, and expected outcomes. Finally, a computer simulation testing the operational performance of the queue warning system is performed using VISSIM, and the results are reported. This report aims to demonstrate the role that queue warning system and active traffic management may play in addressing metropolitan traffic needs.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.subjectActive traffic managementen
dc.subjectQueue warning systemen
dc.titleA case study of active traffic management : safety analysis and operations improvements using a queue warning systemen
dc.date.updated2011-09-29T20:52:46Zen
dc.identifier.slug2152/ETD-UT-2011-08-4192en
dc.description.departmentCivil, Architectural, and Environmental Engineeringen
dc.type.genrethesisen
thesis.degree.departmentCivil, Architectural, and Environmental Engineeringen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorUniversity of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Science in Engineeringen


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