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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| Format: | Conference paper |
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2023
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| _version_ | 1833411209879093248 |
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| author | Ci W.X. Ahmed S.K. Zulkifli F. Ramasamy A.K. |
| author2 | 36070257800 |
| author_facet | 36070257800 Ci W.X. Ahmed S.K. Zulkifli F. Ramasamy A.K. |
| author_sort | Ci W.X. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.uniten.dspace-30833 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| record_format | dspace |
| spelling | my.uniten.dspace-308332023-12-29T15:54:13Z Traffic flow simulation at an unsignalized t-junction using monte carlo markov chains Ci W.X. Ahmed S.K. Zulkifli F. Ramasamy A.K. 36070257800 25926812900 36070247500 16023154400 Bayesian networks Image processing Imaging systems Markov processes Monte Carlo methods Satellite communication systems Traffic surveys Complex systems Congested traffic Exact solution Monte Carlo Markov chain Probability theory Queuing systems Simulation technique T junctions Traffic flow simulation Flow simulation 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. Final 2023-12-29T07:54:13Z 2023-12-29T07:54:13Z 2009 Conference paper 10.1109/ICSIPA.2009.5478675 2-s2.0-77954499959 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954499959&doi=10.1109%2fICSIPA.2009.5478675&partnerID=40&md5=a73b8fb4e59627131547d7417eb0f58c https://irepository.uniten.edu.my/handle/123456789/30833 5478675 346 351 Scopus |
| spellingShingle | Bayesian networks Image processing Imaging systems Markov processes Monte Carlo methods Satellite communication systems Traffic surveys Complex systems Congested traffic Exact solution Monte Carlo Markov chain Probability theory Queuing systems Simulation technique T junctions Traffic flow simulation Flow simulation Ci W.X. Ahmed S.K. Zulkifli F. Ramasamy A.K. Traffic flow simulation at an unsignalized t-junction using monte carlo markov chains |
| title | 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_short | 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 |
| topic | Bayesian networks Image processing Imaging systems Markov processes Monte Carlo methods Satellite communication systems Traffic surveys Complex systems Congested traffic Exact solution Monte Carlo Markov chain Probability theory Queuing systems Simulation technique T junctions Traffic flow simulation Flow simulation |
| url_provider | http://dspace.uniten.edu.my/ |