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Algorithm and data support of traffic congestion forecasting in the controlled transport

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dc.contributor.author Dmitriev S.
dc.date.accessioned 2018-09-18T20:26:04Z
dc.date.available 2018-09-18T20:26:04Z
dc.date.issued 2015
dc.identifier.issn 1757-8981
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/139843
dc.description.abstract © Published under licence by IOP Publishing Ltd. The topicality of problem of the traffic congestion forecasting in the logistic systems of product movement highways is considered. The concepts: the controlled territory, the highway occupancy by vehicles, the parking and the controlled territory are introduced. Technical realizabilityof organizing the necessary flow of information on the state of the transport system for its regulation has been marked. Sequence of practical implementation of the solution is given. An algorithm for predicting traffic congestion in the controlled transport system is suggested.
dc.relation.ispartofseries IOP Conference Series: Materials Science and Engineering
dc.subject algorithm
dc.subject area
dc.subject congestion
dc.subject Control
dc.subject facilities
dc.subject filling
dc.subject flow
dc.subject forecast technical
dc.subject highway
dc.subject intensity
dc.subject parking
dc.subject transport
dc.title Algorithm and data support of traffic congestion forecasting in the controlled transport
dc.type Conference Paper
dc.relation.ispartofseries-issue 1
dc.relation.ispartofseries-volume 86
dc.collection Публикации сотрудников КФУ
dc.source.id SCOPUS17578981-2015-86-1-SID84938704546


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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