Potential impacts of connected-autonomous vehicles on congestion and safety : a look at Austin, Texas

dc.contributor.advisorZhang, Ming, 1963 April 22-
dc.contributor.committeeMemberJiao, Junfeng
dc.creatorArcher, Jackson Longstreet
dc.date.accessioned2017-11-20T14:51:23Z
dc.date.available2017-11-20T14:51:23Z
dc.date.created2017-05
dc.date.issued2017-05-02
dc.date.submittedMay 2017
dc.date.updated2017-11-20T14:51:23Z
dc.description.abstractData is a central component of Connected-Autonomous Vehicle (CAV) systems: the advantages and potential challenges of both vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) CAV data underlie the question of wide scale CAV implementation. This report looks at the potential congestion and safety benefits of a vehicle system highly saturated with CAVs in Austin, Texas. Traffic factors such as capacity, intersection delay, and crash rate are examined with respect to their effect on an urban corridor in Austin. The case study relies almost entirely on collected field data to be used as a comparison against potential CAV advantages. In addition to a presentation of the quantitative benefits of CAVs, an infrastructure placement scheme that maximizes data transmission efficiency is also proposed. The results find that vehicle systems can see large improvements in capacity, intersection delay, and number of crashes, and at a relatively inexpensive cost.
dc.description.departmentCommunity and Regional Planning
dc.format.mimetypeapplication/pdf
dc.identifierdoi:10.15781/T2J09WM46
dc.identifier.urihttp://hdl.handle.net/2152/62648
dc.language.isoen
dc.subjectCAV
dc.subjectV2V
dc.subjectV2I
dc.subjectV2X
dc.subjectAutonomous
dc.subjectConnected-autonomous
dc.subjectVehicle
dc.subjectAustin, Texas
dc.subjectTransportation
dc.subjectCongestion
dc.subjectSafety
dc.subjectTravel time
dc.titlePotential impacts of connected-autonomous vehicles on congestion and safety : a look at Austin, Texas
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentArchitecture
thesis.degree.disciplineCommunity and Regional Planning
thesis.degree.grantorThe University of Texas at Austin
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Community and Regional Planning
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