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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">mais</journal-id><journal-title-group><journal-title xml:lang="ru">Моделирование и анализ информационных систем</journal-title><trans-title-group xml:lang="en"><trans-title>Modeling and Analysis of Information Systems</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1818-1015</issn><issn pub-type="epub">2313-5417</issn><publisher><publisher-name>Yaroslavl State University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18255/1818-1015-2016-4-412-426</article-id><article-id custom-type="elpub" pub-id-type="custom">mais-367</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Оригинальные статьи</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Articles</subject></subj-group></article-categories><title-group><article-title>Облачный сервис для интерактивного моделирования межтерриториальной торговли</article-title><trans-title-group xml:lang="en"><trans-title>Cloud Service for Interactive Simulation of Interregional Trade</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8760-316X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Величко</surname><given-names>А. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Velichko</surname><given-names>A. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Величко Андрей Сергеевич, кандидат физико-математических наук, научный сотрудник</p><p>Институт автоматики и процессов управления ДВО РАН ул. Радио, 5, г. Владивосток, 690041</p></bio><bio xml:lang="en"><p>Velichko Andrei Sergeevich, PhD, researcher</p><p>Institute for Automation and Control Processes FEB RAS, 5, Radio Str., Vladivostok, 690041</p></bio><email xlink:type="simple">vandre@dvo.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9393-351X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Грибова</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Gribova</surname><given-names>V. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Грибова Валерия Викторовна,  доктор технических наук, зав. лабораторией,</p><p>Институт автоматики и процессов управления ДВО РАН ул. Радио, 5, г. Владивосток, 690041</p></bio><bio xml:lang="en"><p>Valeriya Viktorovna,  DSc, laboratory head,</p><p>Institute for Automation and Control Processes FEB RAS, 5, Radio Str., Vladivostok, 690041</p></bio><email xlink:type="simple">gribova@iacp.dvo.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8760-316X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Федорищев</surname><given-names>Л. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Fedorishchev</surname><given-names>L. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Величко Андрей Сергеевич, кандидат физико-математических наук, научный сотрудник,</p><p>Институт автоматики и процессов управления ДВО РАН ул. Радио, 5, г. Владивосток, 690041</p></bio><bio xml:lang="en"><p>Fedorishchev Leonid Aleksandrovich,  PhD, researcher,</p><p>Institute for Automation and Control Processes FEB RAS, 5, Radio Str., Vladivostok, 690041</p></bio><email xlink:type="simple">fleo1987@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Институт автоматики и процессов управления Дальневосточного отделения РАН, Владивосток</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Institute for Automation and Control Processes FEB RAS, Vladivostok</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2016</year></pub-date><pub-date pub-type="epub"><day>20</day><month>08</month><year>2016</year></pub-date><volume>23</volume><issue>4</issue><fpage>412</fpage><lpage>426</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Величко А.С., Грибова В.В., Федорищев Л.А., 2016</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="ru">Величко А.С., Грибова В.В., Федорищев Л.А.</copyright-holder><copyright-holder xml:lang="en">Velichko A.S., Gribova V.V., Fedorishchev L.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.mais-journal.ru/jour/article/view/367">https://www.mais-journal.ru/jour/article/view/367</self-uri><abstract><p>В работе описана математическая модель торговых потоков между территориями региона или страны в транспортной сети, представленной одним агрегированным или разнообразными видами морского и наземного транспорта. Используется подход моделирования сложных коммуникационных систем для определения наиболее вероятных значений потоков в условиях неполноты информации о рассматриваемой системе. Транспортные издержки между территориями моделируются в рамках гравитационной модели. Плата за перевозку зависит от расстояния между регионами, оцениваемого как длина кратчайшего пути между пунктами в заданной транспортной сети или определяемого как географическое расстояние. Математическая постановка задачи относится к классу выпуклых задач математического программирования и предполагает численное решение нелинейной оптимизационной задачи с линейными ограничениями. На основе модели реализовано программное средство как облачный сервис на гетерогенных вычислительных архитектурах: модуль моделирования выполнен на высокопроизводительной серверной платформе, модули управления и визуализации – на облачной платформе IACPaaS. Связь между платформами осуществляется через асинхронные http-запросы. Для обмена информацией между модулями разработана и реализована декларативная модель в формате JSON для объектов, рассматриваемых в математической модели: продуктов, зон и коммуникаций. Модуль визуализации позволяет наглядно представить исходные и получаемые в результате моделирования матричные данные, интерактивно изменять входные параметры модели. В работе продемонстрировано использование программного комплекса для моделирования межрегиональных грузопотоков в транспортной сети регионов Дальнего Востока России на основе входных данных, взятых из открытых статистических источников. </p></abstract><trans-abstract xml:lang="en"><p>The paper describes a mathematical model of trade flows between the territories of a region or a country in a transport network having one or more different types of marine or ground transportation. We use the approach of modeling complex communication systems to determine the most probable values of flows in case of incomplete information about the system. Transport costs between the territories are modeled within the framework of the gravity model. The payment for transportation depends on the distance between regions, the distance is estimated as the shortest way length in a given transport network or geographical distance. The mathematical formulation of the problem belongs to the class of convex mathematical programming problems and assumes the numerical solution of nonlinear optimization problem with linear constraints. Based on the model, the software is implemented as a cloud service on heterogeneous computing architectures: the simulation module is made on a highperformance server platform, management and visualization modules are produced with IACPaaS cloud platform. Communication between the platforms is established via asynchronous http-queries. For information exchange between the modules the declarative model with JSON format is developed and implemented for the objects considered in the mathematical model which are products, areas and communications. Visualization module allows to present graphically the original and the resulting matrix data and to modify the input parameters of the model interactively. The paper demonstrates the use of software for the simulation of inter-regional freight traffic of the Russian Far East region based on input data provided by open statistics sources.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>межрегиональный</kwd><kwd>транспорт</kwd><kwd>сеть</kwd><kwd>мультимодальный</kwd><kwd>гравитационный</kwd><kwd>энтропийный</kwd><kwd>равновесие</kwd><kwd>модель</kwd></kwd-group><kwd-group xml:lang="en"><kwd>interregional</kwd><kwd>transportation</kwd><kwd>network</kwd><kwd>multimodal</kwd><kwd>gravity</kwd><kwd>entropy</kwd><kwd>equilibrium</kwd><kwd>model</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Российский фонд фундаментальных исследований (проект № 16-07-00340а)</funding-statement><funding-statement xml:lang="en">RFBR (grant No.16-07-00340-a)</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Леонтьев В. 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