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<p>Created page with &quot; == Abstract == © Published under licence by IOP Publishing Ltd. The topicality of problem of the traffic congestion forecasting in the logistic systems of product movement...&quot;</p> <p><b>New page</b></p><div><br /> == Abstract ==<br /> <br /> © 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.<br /> <br /> <br /> == Original document ==<br /> <br /> The different versions of the original document can be found in:<br /> <br /> * [http://iopscience.iop.org/article/10.1088/1757-899X/86/1/012028/pdf http://iopscience.iop.org/article/10.1088/1757-899X/86/1/012028/pdf] under the license https://creativecommons.org/licenses/by<br /> <br /> * [https://openrepository.ru/article?id=205431 https://openrepository.ru/article?id=205431] under the license cc-by<br /> <br /> * [https://openrepository.ru/article?id=45445 https://openrepository.ru/article?id=45445]<br /> <br /> * [https://openrepository.ru/article?id=671879 https://openrepository.ru/article?id=671879]<br /> <br /> * [http://iopscience.iop.org/article/10.1088/1757-899X/86/1/012028/pdf http://iopscience.iop.org/article/10.1088/1757-899X/86/1/012028/pdf],<br /> : [https://ui.adsabs.harvard.edu/abs/2015MS&amp;E...86a2028D/abstract https://ui.adsabs.harvard.edu/abs/2015MS&amp;E...86a2028D/abstract],<br /> : [http://iopscience.iop.org/article/10.1088/1757-899X/86/1/012028 http://iopscience.iop.org/article/10.1088/1757-899X/86/1/012028],<br /> : [https://academic.microsoft.com/#/detail/2285326570 https://academic.microsoft.com/#/detail/2285326570]<br /> <br /> * [http://stacks.iop.org/1757-899X/86/i=1/a=012028/pdf http://stacks.iop.org/1757-899X/86/i=1/a=012028/pdf],<br /> : [http://stacks.iop.org/1757-899X/86/i=1/a=012028?key=crossref.69e17c39fa333ab93e6f17599f1b95fd http://stacks.iop.org/1757-899X/86/i=1/a=012028?key=crossref.69e17c39fa333ab93e6f17599f1b95fd],<br /> : [http://dx.doi.org/10.1088/1757-899x/86/1/012028 http://dx.doi.org/10.1088/1757-899x/86/1/012028]<br /> <br /> * [https://dspace.kpfu.ru/xmlui/handle/net/139843 https://dspace.kpfu.ru/xmlui/handle/net/139843],<br /> : [https://openrepository.ru/article?id=716430 https://openrepository.ru/article?id=716430] under the license http://iopscience.iop.org/info/page/text-and-data-mining</div>

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