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An apporach for analyzing queuing systems using Markov chain Monte Carlo methods: A traffic flow case study

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dc.citedby2
dc.contributor.authorWong X.C.en_US
dc.contributor.authorAhmed S.K.en_US
dc.contributor.authorZulkifli F.en_US
dc.contributor.authorRamasamy A.K.en_US
dc.contributor.authorid36070257800en_US
dc.contributor.authorid25926812900en_US
dc.contributor.authorid36070247500en_US
dc.contributor.authorid16023154400en_US
dc.date.accessioned2023-12-29T07:53:56Z
dc.date.available2023-12-29T07:53:56Z
dc.date.issued2009
dc.description.abstractIn our urban community, having to wait In line Is a dally nuisance as precious time Is wasted. One simple example Is traffic congestion on roads. Reduction of these congestions will not only minimize time wastage but also lead to a healthier life. For this reason, various approaches have been taken to mitigate this problem. In this paper, a simulation approach is proposed to model and investigate the behavior of traffic flow on roads. This is due to the difficulty in obtaining exact solutions based on probability theory and queuing systems even for moderately complex systems. In this paper, the simulation technique used is based on the Markov Chain Monte Carlo technique. It is noticed that the result obtained shows that traffic behavior can be modeled accurately. Thus, this simple approach can be extended to other similar systems such as computer networks, communication systems, etc. �2009 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5443360
dc.identifier.doi10.1109/SCORED.2009.5443360
dc.identifier.epage44
dc.identifier.scopus2-s2.0-77952656783
dc.identifier.spage41
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77952656783&doi=10.1109%2fSCORED.2009.5443360&partnerID=40&md5=eebe94d674496159d8d38298f3958d81
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30820
dc.pagecount3
dc.sourceScopus
dc.sourcetitleSCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development
dc.subjectMarkov chain
dc.subjectMonte Carlo
dc.subjectQueuing systems
dc.subjectSimulation
dc.subjectTraffic flow
dc.subjectCommunication systems
dc.subjectFlow simulation
dc.subjectMarkov processes
dc.subjectQueueing networks
dc.subjectQueueing theory
dc.subjectResearch
dc.subjectRoads and streets
dc.subjectComplex systems
dc.subjectExact solution
dc.subjectIn-line
dc.subjectMarkov chain Monte Carlo
dc.subjectMarkov chain Monte Carlo method
dc.subjectMarkov chain Monte Carlo techniques
dc.subjectProbability theory
dc.subjectQueuing systems
dc.subjectSimple approach
dc.subjectSimulation approach
dc.subjectSimulation technique
dc.subjectTraffic behavior
dc.subjectTraffic flow
dc.subjectUrban community
dc.subjectMonte Carlo methods
dc.titleAn apporach for analyzing queuing systems using Markov chain Monte Carlo methods: A traffic flow case studyen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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