Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/65557
Full metadata record
DC FieldValueLanguage
dc.contributor.authorChompoonoot Kasemseten_US
dc.contributor.authorHidetsugu Sutoen_US
dc.date.accessioned2019-08-05T04:35:19Z-
dc.date.available2019-08-05T04:35:19Z-
dc.date.issued2019-05-14en_US
dc.identifier.other2-s2.0-85066607980en_US
dc.identifier.other10.1109/IEA.2019.8714969en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066607980&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/65557-
dc.description.abstract© 2019 IEEE. This study presents an outbound-vehicle analysis in traffic system of Chiang Mai University as a case study. In the previous work, a network optimization technique is applied for maximum flow problem to find the optimal number of opened gates that appropriate for the current number of vehicles in the campus. Based on the results of previous work, simulation model was conducted in this study to introduce uncertainty factors in the system. The proposed simulation model was verified and validated to confirm the rightness and validity. Then, the uncertainty of vehicle velocity was introduced to the model in the 1st scenario. The results obtained from the 1st scenario showed that the optimal solution from the previous work was not sufficient when the uncertainty was introduced. The 2nd scenario was conducted to improve the system. Finally, the results obtained from the last scenario presented that changing directions after drivers perceived the traffic jam can help in improving the system, but the probability of changing the direction should be greater than or equal to 40%. Realtime traffic information systems may be considered to solve the traffic jam, if the solution is affected on changing driver's decision as 40% or greater than this value.en_US
dc.subjectDecision Sciencesen_US
dc.subjectEngineeringen_US
dc.titleA Case Study of Outbound-vehicle Analysis in Traffic System: Optimization to Simulationen_US
dc.typeConference Proceedingen_US
article.title.sourcetitle2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019en_US
article.stream.affiliationsMuroran Institute of Technologyen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.