Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/63624
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dc.contributor.authorApinya Ngaosaien_US
dc.contributor.authorJakarin Chawachaten_US
dc.date.accessioned2019-03-18T02:22:08Z-
dc.date.available2019-03-18T02:22:08Z-
dc.date.issued2019-01-18en_US
dc.identifier.other2-s2.0-85062228273en_US
dc.identifier.other10.1109/ECTICon.2018.8620034en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062228273&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/63624-
dc.description.abstract© 2018 IEEE Urban streets are characterized by continuous intersections. When there are traffic jams, wide areas are affected. Among many attempts to solve this problem, one is Traffic Signal Management. Our approach focuses on traffic signal control for consecutive intersections. First, we transform intersections to a flow network and modify density of streets to capacity in a flow network. Then, we calculate a maximum flow. After that, we calculate the flow which passes outbound streets of each inbound street and set how long a green light signal turn on at each inbound street. After many experiments, when at least half of inbound streets are high-density, we found that using our approach results in higher traffic flow than fixed-time and video processing approach.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.subjectMathematicsen_US
dc.subjectPhysics and Astronomyen_US
dc.titleTraffic signal management using maximum flow approach for consecutive intersectionsen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleECTI-CON 2018 - 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technologyen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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