Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/6291
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dc.contributor.authorYogeswary, Raviraj-
dc.contributor.authorKumara, R. A. D. S. M. U.-
dc.date.accessioned2022-11-30T06:43:33Z-
dc.date.available2022-11-30T06:43:33Z-
dc.date.issued2022-11-15-
dc.identifier.citationProceedings of the 11th Annual Science Research Sessions, FAS, SEUSL, Sri Lanka 15th November 2022 Scientific Engagement for Sustainable Futuristic Innovations pp. 43.en_US
dc.identifier.isbn978-624-5736-60-7-
dc.identifier.isbn978-624-5736-59-1-
dc.identifier.urihttp://ir.lib.seu.ac.lk/handle/123456789/6291-
dc.description.abstractTraffic congestion occurs frequently at downtown intersections during rush hours, at road construction zones as well as at accident sites. Under such circumstances, traffic flow exceeds intersection capacity causing queuing of automobiles that cannot be eliminated in one signal cycle. The objective of this work is to present a discrete minimal delay model to minimize the delay time of vehicles at each intersection by minimizing the total number of vehicles at each intersection at the signalized two intersections arterial. Discrete dynamic optimization models are developed and an algorithm to solve them is presented. The optimal cycle length and the optimal assigned green time for each approach are determined for the case of two-phase control. The initial number of vehicles at each lane at the intersections is counted by a camera which is the most exact method among other existing methods. The model is developed to minimize the number of waiting vehicles from cycle to cycle. The proposed model is solved by the method of sequential quadratic programming coded in MATLAB environment.en_US
dc.language.isoen_USen_US
dc.publisherFaculty of Applied Sciences, South Eastern University of Sri Lanka, Sammanthurai.en_US
dc.subjectOptimal signal timingen_US
dc.subjectArterial intersection at road networksen_US
dc.titleOptimal signal timing for an oversaturated arterial intersection at road networksen_US
dc.typeArticleen_US
Appears in Collections:11th Annual Science Research Session - FAS

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