On the use of traffic assignment and microsimulation to predict work zone effects

dc.contributor.advisorMachemehl, Randy B.
dc.creatorSmith, Harry Vincent, II
dc.creator.orcid0000-0002-2969-2464
dc.date.accessioned2022-11-14T16:50:32Z
dc.date.available2022-11-14T16:50:32Z
dc.date.created2022-05
dc.date.issued2022-05-06
dc.date.submittedMay 2022
dc.date.updated2022-11-14T16:50:33Z
dc.description.abstractThe field of transportation modeling exists at a crossroads. Practice lags behind advancements in theory, software, and computer power. During this transitional phase, it becomes difficult to understand which estimations are reliable. Several popular programs work toward similar purposes, but inputs and outputs from one program might not translate to another. This thesis analyzes the cross-compatibility of static traffic assignment and microsimulation for the San Antonio, Texas area. The methodology uses two models already built and in use for the area: one in TransCAD for static traffic assignment and another in VISSIM for microsimulation. In Chapter 2, the reader is presented an overview of the literature on several topics. First, the basics of work zone demand management and traffic control plans are covered. Then, this section introduces the differences between static and dynamic traffic assignment. The discussion also includes reasons why advancements have not been universally implemented yet. Next, the text of Chapter 3 and 4 explains the methodology and results from traffic assignment and microsimulation. Challenges and successes of the entire process are thoroughly explored. A conclusion in Chapter 5 assesses the feasibility of combining the two methods to obtain useful results of user delay and traffic volume for planners.
dc.description.departmentCivil, Architectural, and Environmental Engineering
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2152/116655
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/43550
dc.language.isoen
dc.subjectStatic traffic assignment
dc.subjectMicrosimulation
dc.subjectWork zone
dc.subjectDiversion
dc.titleOn the use of traffic assignment and microsimulation to predict work zone effects
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentCivil, Architectural, and Environmental Engineering
thesis.degree.disciplineCivil Engineering
thesis.degree.grantorThe University of Texas at Austin
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Engineering

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