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Modeling traffic congestion using simulation software

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dc.contributor.authorKim, Seongho-
dc.contributor.authorSuh, Wonho-
dc.date.accessioned2021-06-23T01:42:07Z-
dc.date.available2021-06-23T01:42:07Z-
dc.date.created2021-01-22-
dc.date.issued2014-05-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/25824-
dc.description.abstractTraffic simulations are being increasingly utilized as transportation systems have become more complex and congested. However, most simulation models have limitations in overcapacity demand conditions. When traffic in a congested area fills the available roadway space additional traffic demand may never be allowed to enter the network. The intent of this paper is to explore one possible means to address the issue of unserved vehicles in overcapacity conditions using the VISSIM trip chain. The VISSIM trip chain feature is used for this analysis as it has the advantage of not eliminating a vehicle when congestion hinders its entrance onto a network, instead holding the vehicle until an acceptable gap exists on the entry link. A sample network is built to investigate the difference between standard traffic flow inputs and the trip chain method in overcapacity conditions. Also, simulations with different minimum space headway parameters in the priority rules are analyzed, allowing for an initial investigation into the sensitivity of the model to this parameter. Based on the analysis conducted it is concluded that, with appropriate calibrations, the trip chain feature in VISSIM is a potentially useful method to provide realistic modeling of various overcapacity conditions. © 2014 IEEE.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE Computer Society-
dc.titleModeling traffic congestion using simulation software-
dc.typeArticle-
dc.contributor.affiliatedAuthorSuh, Wonho-
dc.identifier.doi10.1109/ICISA.2014.6847430-
dc.identifier.scopusid2-s2.0-84904480387-
dc.identifier.wosid000346134200106-
dc.identifier.bibliographicCitationICISA 2014 - 2014 5th International Conference on Information Science and Applications, pp.1 - 3-
dc.relation.isPartOfICISA 2014 - 2014 5th International Conference on Information Science and Applications-
dc.citation.titleICISA 2014 - 2014 5th International Conference on Information Science and Applications-
dc.citation.startPage1-
dc.citation.endPage3-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaInformation Science & Library Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryInformation Science & Library Science-
dc.subject.keywordPlusChains-
dc.subject.keywordPlusComplex networks-
dc.subject.keywordPlusComputer simulation-
dc.subject.keywordPlusInformation science-
dc.subject.keywordPlusTraffic congestion-
dc.subject.keywordPlusDemand conditions-
dc.subject.keywordPlusMicroscopic simulation-
dc.subject.keywordPlusRealistic model-
dc.subject.keywordPlusSimulation software-
dc.subject.keywordPlusTraffic demands-
dc.subject.keywordPlusTraffic simulations-
dc.subject.keywordPlusTransportation system-
dc.subject.keywordPlusVISSIM-
dc.subject.keywordPlusComputer software-
dc.subject.keywordAuthormicroscopic simulation-
dc.subject.keywordAuthortraffic simulation software-
dc.subject.keywordAuthorVISSIM-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/6847430-
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ERICA 공학대학 (DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING)
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