An apporach for analyzing queuing systems using Markov chain Monte Carlo methods: A traffic flow case study
In 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...
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my.uniten.dspace-308202024-04-17T10:45:05Z An apporach for analyzing queuing systems using Markov chain Monte Carlo methods: A traffic flow case study Wong X.C. Ahmed S.K. Zulkifli F. Ramasamy A.K. 36070257800 25926812900 36070247500 16023154400 Markov chain Monte Carlo Queuing systems Simulation Traffic flow Communication systems Flow simulation Markov processes Queueing networks Queueing theory Research Roads and streets Complex systems Exact solution In-line Markov chain Monte Carlo Markov chain Monte Carlo method Markov chain Monte Carlo techniques Probability theory Queuing systems Simple approach Simulation approach Simulation technique Traffic behavior Traffic flow Urban community Monte Carlo methods In 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. Final 2023-12-29T07:53:56Z 2023-12-29T07:53:56Z 2009 Conference Paper 10.1109/SCORED.2009.5443360 2-s2.0-77952656783 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952656783&doi=10.1109%2fSCORED.2009.5443360&partnerID=40&md5=eebe94d674496159d8d38298f3958d81 https://irepository.uniten.edu.my/handle/123456789/30820 5443360 41 44 Scopus |
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Markov chain Monte Carlo Queuing systems Simulation Traffic flow Communication systems Flow simulation Markov processes Queueing networks Queueing theory Research Roads and streets Complex systems Exact solution In-line Markov chain Monte Carlo Markov chain Monte Carlo method Markov chain Monte Carlo techniques Probability theory Queuing systems Simple approach Simulation approach Simulation technique Traffic behavior Traffic flow Urban community Monte Carlo methods |
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Markov chain Monte Carlo Queuing systems Simulation Traffic flow Communication systems Flow simulation Markov processes Queueing networks Queueing theory Research Roads and streets Complex systems Exact solution In-line Markov chain Monte Carlo Markov chain Monte Carlo method Markov chain Monte Carlo techniques Probability theory Queuing systems Simple approach Simulation approach Simulation technique Traffic behavior Traffic flow Urban community Monte Carlo methods Wong X.C. Ahmed S.K. Zulkifli F. Ramasamy A.K. An apporach for analyzing queuing systems using Markov chain Monte Carlo methods: A traffic flow case study |
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In 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. |
| author2 |
36070257800 |
| author_facet |
36070257800 Wong X.C. Ahmed S.K. Zulkifli F. Ramasamy A.K. |
| format |
Conference Paper |
| author |
Wong X.C. Ahmed S.K. Zulkifli F. Ramasamy A.K. |
| author_sort |
Wong X.C. |
| title |
An apporach for analyzing queuing systems using Markov chain Monte Carlo methods: A traffic flow case study |
| title_short |
An apporach for analyzing queuing systems using Markov chain Monte Carlo methods: A traffic flow case study |
| title_full |
An apporach for analyzing queuing systems using Markov chain Monte Carlo methods: A traffic flow case study |
| title_fullStr |
An apporach for analyzing queuing systems using Markov chain Monte Carlo methods: A traffic flow case study |
| title_full_unstemmed |
An apporach for analyzing queuing systems using Markov chain Monte Carlo methods: A traffic flow case study |
| title_sort |
apporach for analyzing queuing systems using markov chain monte carlo methods: a traffic flow case study |
| publishDate |
2023 |
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1806426259033423872 |
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13.222552 |