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Modeling and Assessment of State-Of-The-Art Traffic Control Subsystems

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dc.contributor.authorMladenovic, Milos Novicaen
dc.contributor.committeechairAbbas, Montasir M.en
dc.contributor.committeememberFlintsch, Gerardo W.en
dc.contributor.committeememberGracanin, Denisen
dc.contributor.departmentCivil Engineeringen
dc.date.accessioned2014-03-14T20:35:01Zen
dc.date.adate2011-05-12en
dc.date.available2014-03-14T20:35:01Zen
dc.date.issued2001-04-29en
dc.date.rdate2011-05-12en
dc.date.sdate2011-05-04en
dc.description.abstractTraffic signals are one of the vital control elements of traffic management and control systems under purview of Departments of Transportation (DOTs) nationwide. They directly affect mobility, safety, and environmental parameters of the transportation networks. Traffic engineers in DOTs often face pressure for extracting additional benefits from existing signal control equipment, influenced by evident increase in demand and changing traffic patterns. However, they often face difficulties, usually from the maturity of the field equipment, lack of understanding of currently available equipment capabilities, and multitude of market available equipment. Besides issues in everyday operation, the need for improved decision-making process appears during selection and implementation of the future signal-control subsystems. This thesis is focusing on the issues related with the need for extracting additional benefits and improved planning of signal-control equipment deployment. Presented are several methodologies and techniques for modeling and assessing traffic signal controllers and supporting communication infrastructure. Techniques presented in this thesis include Petri Net modeling language, Software-in-the-loop simulation, and Geographical Information Systems. Specific capabilities of listed techniques are coordinated for maximizing their benefits in addressing specific issues. The intended positive effects reflect in enhanced comprehension, numerical representation, and analysis of state-of-the-art signal control subsystems in focus. Frameworks, methodologies, and example cases are presented for each of the specific issues in identified traffic signal subsystems, along with recommendations for further research.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-05042011-134224en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-05042011-134224/en
dc.identifier.urihttp://hdl.handle.net/10919/32193en
dc.publisherVirginia Techen
dc.relation.haspartMladenovic_MN_T_2011.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectGeographical Information Systemsen
dc.subjecttraffic signal controlleren
dc.subjectcommunication infrastructureen
dc.subjectPetri Neten
dc.subjectSoftware-in-the-loopen
dc.titleModeling and Assessment of State-Of-The-Art Traffic Control Subsystemsen
dc.typeThesisen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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