Incident-Related Travel Time Estimation Using a Cellular Automata Model

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dc.contributor.authorWang, Zhuojinen
dc.contributor.committeechairMurray-Tuite, Pamela Marieen
dc.contributor.committeememberLu, Chang-Tienen
dc.contributor.committeememberAbbas, Montasir M.en
dc.contributor.departmentCivil Engineeringen
dc.date.accessioned2014-03-14T20:40:13Zen
dc.date.adate2009-07-08en
dc.date.available2014-03-14T20:40:13Zen
dc.date.issued2009-06-04en
dc.date.rdate2009-07-08en
dc.date.sdate2009-06-18en
dc.description.abstractThe purpose of this study was to estimate the drivers' travel time with the occurrence of an incident on freeway. Three approaches, which were shock wave analysis, queuing theory and cellular automata models, were initially considered, however, the first two macroscopic models were indicated to underestimate travel time by previous literature. A microscopic simulation model based on cellular automata was developed to attain the goal. The model incorporated driving behaviors on the freeway with the presence of on-ramps, off-ramps, shoulder lanes, bottlenecks and incidents. The study area was a 16 mile eastbound section of I-66 between US-29 and I-495 in northern Virginia. The data for this study included loop detector data and incident data for the road segment for the year 2007. Flow and speed data from the detectors were used for calibration using quantitative and qualitative techniques. The cellular automata model properly reproduced the traffic flow under normal conditions and incidents. The travel time information was easily obtained from the model. The system is promising for travel time estimation in near real time.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-06182009-154412en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06182009-154412/en
dc.identifier.urihttp://hdl.handle.net/10919/33644en
dc.publisherVirginia Techen
dc.relation.haspartZhuojin_Wang_Thesis_June4_2009.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjecttravel timeen
dc.subjectCellular Automataen
dc.subjectincidenten
dc.titleIncident-Related Travel Time Estimation Using a Cellular Automata Modelen
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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