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dc.contributor.authorEgaravanda, Sayuri (56516990500); Nugroho, Lukito Edi (6507794445); Adji, Teguh Bharata (24734043700); Widyawan (55666627500); Munawar, Ahmad (36562276400)
dc.contributor.editor-
dc.date.accessioned2025-02-11T16:12:00Z
dc.date.available2025-02-11T16:12:00Z
dc.date.issued2017
dc.identifier.isbn978-150904139-8
dc.identifier.issnDF0059
dc.identifier.urihttps://doi.org/10.1109/ICITEED.2016.7863266
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85016044466&doi=10.1109%2fICITEED.2016.7863266&partnerID=40&md5=5583d8994d657ac572c344f376944ddd
dc.identifier.urihttp://digilib.fisipol.ugm.ac.id/repo/handle/15717717/21779
dc.description.abstractSmartway describes a service innovation in transportation with development of two way interaction between government and citizen. Citizen is viewed as a government's partner in Traffic Management System decision-making process. This research will exercise an innovative G2C/C2G relation in the transportation sector where both share responsibility for shaping the service to precisely meet people's need. Connecting user-domain information and traffic control mechanism will create a closed feedback control system that can be established to achieve the desired optimal state. Kalman filter is used to predict the number of vehicles which pass a certain segment for the purpose of decision making in traffic control. Additionally, prediction can be used to determine the cycle time of an intersection. © 2016 IEEE.
dc.language.isoEnglish
dc.publisherProceedings of 2016 8th International Conference on Information Technology and Electrical Engineering: Empowering Technology for Better Future, ICITEE 2016
dc.titleSmartway: A predictive model for traffic management decision
dc.typeConference paper
dc.description.pages-
dc.description.doi10.1109/ICITEED.2016.7863266
dc.title.book-
dc.link.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85016044466&doi=10.1109%2fICITEED.2016.7863266&partnerID=40&md5=5583d8994d657ac572c344f376944ddd


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