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

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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主要な著者:	Wong X.C., Ahmed S.K., Zulkifli F., Ramasamy A.K.
その他の著者:	36070257800
フォーマット:	Conference Paper
出版事項:	2023
主題:	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 Simple approach Simulation approach Simulation technique Traffic behavior Urban community Monte Carlo methods
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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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