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Traffic flow simulation at an unsignalized t-junction using monte carlo markov chains

Congested traffic conditions are a daily nuisance of modern life. Reduction of these congestions will lead to a less stressful and healthier commute. Before mitigating solutions can be obtained, the problem needs to be understood and analyzed. Exact solutions based on probability theory and queuing...

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Main Authors: Ci, W.X., Ahmed, S.K., Zulkifli, F., Ramasamy, A.K.
Format: Conference Paper
Language:English
Published: 2017
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spelling my.uniten.dspace-50302017-11-14T07:31:57Z Traffic flow simulation at an unsignalized t-junction using monte carlo markov chains Ci, W.X. Ahmed, S.K. Zulkifli, F. Ramasamy, A.K. Congested traffic conditions are a daily nuisance of modern life. Reduction of these congestions will lead to a less stressful and healthier commute. Before mitigating solutions can be obtained, the problem needs to be understood and analyzed. Exact solutions based on probability theory and queuing systems are difficult to obtain for even moderately complex systems. Further for complex systems, insight into system behaviour is not very clear. In this paper, a simulation technique based on the Monte Carlo Markov Chain is applied to an unsignalized T-junction. It is noticed that a "small" number of simulations are sufficient to understand the behavior of the system. This simple yet powerful method offers several options and hence, is very appealing. The method can be easily extended to other types of systems as well. 2017-11-14T03:21:30Z 2017-11-14T03:21:30Z 2009 Conference Paper 10.1109/ICSIPA.2009.5478675 en ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings 2009, Article number 5478675, Pages 346-351
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description Congested traffic conditions are a daily nuisance of modern life. Reduction of these congestions will lead to a less stressful and healthier commute. Before mitigating solutions can be obtained, the problem needs to be understood and analyzed. Exact solutions based on probability theory and queuing systems are difficult to obtain for even moderately complex systems. Further for complex systems, insight into system behaviour is not very clear. In this paper, a simulation technique based on the Monte Carlo Markov Chain is applied to an unsignalized T-junction. It is noticed that a "small" number of simulations are sufficient to understand the behavior of the system. This simple yet powerful method offers several options and hence, is very appealing. The method can be easily extended to other types of systems as well.
format Conference Paper
author Ci, W.X.
Ahmed, S.K.
Zulkifli, F.
Ramasamy, A.K.
spellingShingle Ci, W.X.
Ahmed, S.K.
Zulkifli, F.
Ramasamy, A.K.
Traffic flow simulation at an unsignalized t-junction using monte carlo markov chains
author_facet Ci, W.X.
Ahmed, S.K.
Zulkifli, F.
Ramasamy, A.K.
author_sort Ci, W.X.
title Traffic flow simulation at an unsignalized t-junction using monte carlo markov chains
title_short Traffic flow simulation at an unsignalized t-junction using monte carlo markov chains
title_full Traffic flow simulation at an unsignalized t-junction using monte carlo markov chains
title_fullStr Traffic flow simulation at an unsignalized t-junction using monte carlo markov chains
title_full_unstemmed Traffic flow simulation at an unsignalized t-junction using monte carlo markov chains
title_sort traffic flow simulation at an unsignalized t-junction using monte carlo markov chains
publishDate 2017
_version_ 1644493594922319872
score 13.211869

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