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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">sibadi</journal-id><journal-title-group><journal-title xml:lang="ru">Научный рецензируемый журнал "Вестник СибАДИ"</journal-title><trans-title-group xml:lang="en"><trans-title>The Russian Automobile and Highway Industry Journal</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2071-7296</issn><issn pub-type="epub">2658-5626</issn><publisher><publisher-name>The Siberian State Automobile and Highway University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26518/2071-7296-2022-19-2-246-257</article-id><article-id custom-type="elpub" pub-id-type="custom">sibadi-1437</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>ТРАНСПОРТ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>TRANSPORT</subject></subj-group></article-categories><title-group><article-title>Оптимизация дорожного движения на основе макроскопической фундаментальной диаграммы в городской двухзональной системе</article-title><trans-title-group xml:lang="en"><trans-title>Traffic optimization based on a macroscopic fundamental diagram in urban bizonal system</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2509-6745</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Цзянг</surname><given-names>Х.</given-names></name><name name-style="western" xml:lang="en"><surname>Jiang</surname><given-names>H.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Цзянг Хайянь – аспирант кафедры «Организация перевозок и дорожного движения»</p><p>г. Ростов-на-Дону</p></bio><bio xml:lang="en"><p>Jiang Haiyan – Postgraduate Student of the Transportation and Traffic Management Department</p><p>Rostov-on-Don</p></bio><email xlink:type="simple">jiang.live.in.rus@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Донской государственный технический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Don State Technical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>24</day><month>05</month><year>2022</year></pub-date><volume>19</volume><issue>2</issue><fpage>246</fpage><lpage>257</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Цзянг Х., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Цзянг Х.</copyright-holder><copyright-holder xml:lang="en">Jiang H.</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://vestnik.sibadi.org/jour/article/view/1437">https://vestnik.sibadi.org/jour/article/view/1437</self-uri><abstract><sec><title>Введение</title><p>Введение. В статье рассматривается возможность формирования стратегии оптимизации дорожного движения на основе макроскопической фундаментальной диаграммы между городскими районами. Построены зоны притяжения при максимальном и минимальном значении пограничного контроля по категории разных типов зоны притяжения. Сформированы стабильные зоны посредством соединения зон притяжения и проанализированы изменения их формы с разными значениями экзогенного потока и эндогенного потока.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. Приведены данные транспортного потока центральной части улично-дорожной сети г. Цзинань (КНР), и построена городская двухзональная система полученными макроскопическими фундаментальными диаграммами. Осуществлено моделирование состояния транспортных потоков, получена закономерность их изменения при разных параметрах пограничного контроля с использованием математически-моделирующего комплекса MATLAB.</p></sec><sec><title>Результаты</title><p>Результаты. В результате исследования получены решения для управления дорожным движением для относительного параметра завершенных и незавершенных поездок. Предложены обобщенные варианты для оптимизации дорожного движения в рассматриваемых городских зонах – выполняется 4 сочетания стратегии для управления дорожным движением, обслуживающего проектный вариант оптимизации с различными состояниями транспортного потока.</p></sec><sec><title>Обсуждение и заключение</title><p>Обсуждение и заключение. Для каждой многозональной системы дорожной сети необходимо сформировать собственный характеристический вариант оптимизации транспортного потока.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction. The article considers the possibility of forming a traffic optimization strategy based on a macroscopic fundamental diagram between urban areas. The zones of influence are constructed with the maximum and minimum values of border control, respectively, according to the category of different types of the zone of influence. The stability zones were formed by connecting the zones of influence and their shape changes with different values of exogenous flow and endogenous flow were analysed.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. The data on the traffic flow of the central part of the Jinan (PRC) road network are presented and an urban bizonal system is constructed using the obtained macroscopic fundamental diagrams. The modelling of the state of traffic flows was carried out and the regularity of their changes at different parameters of border control was obtained using the mathematical modelling MATLAB complex.</p></sec><sec><title>Results</title><p>Results. As a result of the study, the traffic management solutions were obtained for the relatively parameter of completed and incomplete trips. The generalized options for optimizing traffic in the considered urban areas are proposed – four combinations of strategies for traffic management are performed serving the design optimization option with different traffic flow conditions.</p><p>Discussion and conclusions. For each multi-zone system of the road network, it is necessary to form its own characteristic variant of optimizing the traffic flow.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>моделирование</kwd><kwd>оптимизация дорожного движения</kwd><kwd>макроскопическая фундаментальная диаграмма</kwd><kwd>стабильная зона</kwd><kwd>городская двухзональная система</kwd></kwd-group><kwd-group xml:lang="en"><kwd>modeling</kwd><kwd>traffic optimization</kwd><kwd>macroscopic fundamental diagram</kwd><kwd>stable zone</kwd><kwd>urban two-zone system</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Зырянов В. В. Особенности применения основной диаграммы транспортного потока на сетевом уровне // Известия волгоградского государственного технического университета. Серия: наземные транспортные системы. Волгоградский государственный технический университет. 2013. С. 71-74. https://www.elibrary.ru/item.asp?id=20901102.</mixed-citation><mixed-citation xml:lang="en">Zyrjanov V. V. Osobennosti primenenija osnovnoj diagrammy transportnogo potoka na setevom urovne [Features of the application of the main diagram of the traffic flow at the network level]. Izvestija volgogradskogo gosudarstvennogo tehnicheskogo universiteta. Serija: nazemnye transportnye sistemy. Volgogradskij gosudarstvennyj tehnicheskij universitet. 2013: 71-74. (in Russ.) https://www.elibrary.ru/item.asp?id=20901102.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Daganzo C. F. Urban gridlock: macroscopic modeling and mitigation approaches. // Transportation Research Part B: Methodological. 2007. vol. 41(1). pp. 49 – 62. DOI: 10.1016/j.trb.2006.03.001.</mixed-citation><mixed-citation xml:lang="en">Daganzo C. F. Urban gridlock: macroscopic modeling and mitigation approaches. Transportation Research Part B: Methodological. 2007; 41(1): 49 - 62. DOI: 10.1016/j.trb.2006.03.001.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Daganzo C. F., Geroliminis N. An analytical approximation for the macroscopic fundamental diagram of urban traffic // Transportation Research Part B: Methodological. 2008. vol. 42(9). pp. 771 – 781. DOI: 10.1016/j.trb.2008.06.008.</mixed-citation><mixed-citation xml:lang="en">Daganzo C. F., Geroliminis N. An analytical approximation for the macroscopic fundamental diagram of urban traffic. Transportation Research Part B: Methodological. 2008; 42(9): 771 – 781. DOI: 10.1016/j.trb.2008.06.008.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Geroliminis N., Sun J. Properties of a well-defined macroscopic fundamental diagram for urban traffic // Transportation Research Part B: Methodological. 2011. vol. 45(3). pp. 605– 617. DOI: 10.1016/j.trb.2010.11.004.</mixed-citation><mixed-citation xml:lang="en">Geroliminis N., Sun J. Properties of a well-defined macroscopic fundamental diagram for urban traffic. Transportation Research Part B: Methodological. 2011; 45(3): 605– 617. DOI: 10.1016/j.trb.2010.11.004.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Haddad J., Ramezani M., Geroliminis N. Cooperative traffic control of a mixed network with two urban regions and a freeway // Transportation Research Part B: Methodological. 2013. vol. 54. pp. 17– 36. DOI: 10.1016/j.trb.2013.03.007.</mixed-citation><mixed-citation xml:lang="en">Haddad J., Ramezani M., Geroliminis N. Cooperative traffic control of a mixed network with two urban regions and a freeway. Transportation Research Part B: Methodological. 2013; 54: 17– 36. DOI: 10.1016/j.trb.2013.03.007.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Ji Y., Geroliminis N. Spatial and temporal analysis of congestion in urban transportation networks // In: Transportation Research Board Annual Meeting, Washington, DC. 2011. http://www.strc.ch/2010/Ji.pdf.</mixed-citation><mixed-citation xml:lang="en">Ji Y., Geroliminis N. Spatial and temporal analysis of congestion in urban transportation networks. In: Transportation Research Board Annual Meeting, Washington, DC. 2011. http://www.strc.ch/2010/Ji.pdf.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Loder A., Bliemer M., Axhausen K. Optimal pricing and investment in a multi-modal city — Introducing a macroscopic network design problem based on the MFD // Transportation Research Part A: Policy and Practice. 2022. vol. 156. pp. 113 – 132. DOI: 10.1016/j.tra.2021.11.026.</mixed-citation><mixed-citation xml:lang="en">Loder A., Bliemer M., Axhausen K. Optimal pricing and investment in a multi-modal city — Introducing a macroscopic network design problem based on the MFD. Transportation Research Part A: Policy and Practice. 2022; 156: 113 – 132. DOI: 10.1016/j.tra.2021.11.026.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Paipuri M., Xu Y., Gnozalez M., Leclercq L. Estimating MFDs, trip lengths and path flow distributions in a multi-region setting using mobile phone data // Transportation Research Part C: Emerging Technologies. 2020. vol. 118. DOI: 10.1016/j.trc.2020.102709.</mixed-citation><mixed-citation xml:lang="en">Paipuri M., Xu Y., Gnozalez M., Leclercq L. Estimating MFDs, trip lengths and path flow distributions in a multi-region setting using mobile phone data. Transportation Research Part C: Emerging Technologies. 2020. vol. 118. DOI: 10.1016/j.trc.2020.102709.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Zyryanov V. V. Simulation Network-Level Relationships of Traffic Flow // IOP Conference Series: Materials Science and Engineering. 2019. DOI:10.1088/1757-899X/698/6/066049.</mixed-citation><mixed-citation xml:lang="en">Zyryanov V. V. Simulation Network-Level Relationships of Traffic Flow. IOP Conference Series: Materials Science and Engineering. 2019. DOI:10.1088/1757-899X/698/6/066049.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Aboudolas K., Geroliminis N. Perimeter and boundary flow control in multi-reservoir heterogeneous networks // Transportation Research Part B: Methodological. 2013. vol. 55. pp. 265– 281. DOI: 10.1016/j.trb.2013.07.003.</mixed-citation><mixed-citation xml:lang="en">Aboudolas K., Geroliminis N. Perimeter and boundary flow control in multi-reservoir heterogeneous networks. Transportation Research Part B: Methodological. 2013; 55: 265 – 281. DOI: 10.1016/j.trb.2013.07.003.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Geroliminis N., Haddad J., Ramezani M. Optimal perimeter control for two urban regions with macroscopic fundamental diagrams: a model predictive approach // IEEE Transactions on Intelligent Transportation Systems. 2013. vol. 14(1). pp. 348– 359. DOI: 10.1109/TITS.2012.2216877.</mixed-citation><mixed-citation xml:lang="en">Geroliminis N., Haddad J., Ramezani M. Optimal perimeter control for two urban regions with macroscopic fundamental diagrams: a model predictive approach. IEEE Transactions on Intelligent Transportation Systems. 2013; 14(1): 348– 359. DOI: 10.1109/TITS.2012.2216877.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Guo Y., Yang L., Hao S., Gu X. Perimeter traffic control for single urban congested region with macroscopic fundamental diagram and boundary conditions // Physica A: Statistical Mechanics and its Applications. 2021. vol. 562. DOI: 10.1016/j.physa.2020.125401.</mixed-citation><mixed-citation xml:lang="en">Guo Y., Yang L., Hao S., Gu X. Perimeter traffic control for single urban congested region with macroscopic fundamental diagram and boundary conditions. Physica A: Statistical Mechanics and its Applications. 2021. vol. 562. DOI: 10.1016/j.physa.2020.125401.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Gao S., Li D., Zheng N., Hu R., She Z. Resilient perimeter control for hyper-congested two-region networks with MFD dynamics // Transportation Research Part B: Methodological. 2022. vol. 156. pp. 50 – 75. DOI: 10.1016/j.trb.2021.12.003.</mixed-citation><mixed-citation xml:lang="en">Gao S., Li D., Zheng N., Hu R., She Z. Resilient perimeter control for hyper-congested two-region networks with MFD dynamics. Transportation Research Part B: Methodological. 2022. vol. 156. pp. 50 – 75. DOI: 10.1016/j.trb.2021.12.003.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Menelaou C., Timotheou S., Kolios P., Panayiotou C. Joint route guidance and demand management using generalized MFDs // IFAC-PapersOnLine. 2020. vol. 53(2). pp. 15023– 15028. DOI: 10.1016/j.ifacol.2020.12.2002.</mixed-citation><mixed-citation xml:lang="en">Menelaou C., Timotheou S., Kolios P., Panayiotou C. Joint route guidance and demand management using generalized MFDs. IFAC-PapersOnLine. 2020. vol. 53(2). pp. 15023-15028. DOI: 10.1016/j.ifacol.2020.12.2002.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang L., Garoni T., Gier J. A comparative study of Macroscopic Fundamental Diagrams of arterial road networks governed by adaptive traffic signal systems // Transportation Research Part B: Methodological. 2013. vol. 49. pp. 1– 23. DOI: 10.1016/j.trb.2012.12.002.</mixed-citation><mixed-citation xml:lang="en">Zhang L., Garoni T., Gier J. A comparative study of Macroscopic Fundamental Diagrams of arterial road networks governed by adaptive traffic signal systems. Transportation Research Part B: Methodological. 2013; 49: 1– 23. DOI: 10.1016/j.trb.2012.12.002.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Haddad J., Ramezani M., Geroliminis N. Cooperative traffic control of a mixed network with two urban regions and a freeway // Transportation Research Part B: Methodological. 2013. vol. 54. pp. 17– 36. DOI: 10.1016/j.trb.2013.03.007.</mixed-citation><mixed-citation xml:lang="en">Haddad J., Ramezani M., Geroliminis N. Cooperative traffic control of a mixed network with two urban regions and a freeway. Transportation Research Part B: Methodological. 2013; 54: 17– 36. DOI: 10.1016/j.trb.2013.03.007.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Haddad J. Optimal perimeter control synthesis for two urban regions with aggregate boundary queue dynamics // Transportation Research Part B: Methodological. 2017. vol. 96. pp. 1 – 25. DOI: 10.1016/j.trb.2016.10.016.</mixed-citation><mixed-citation xml:lang="en">Haddad J. Optimal perimeter control synthesis for two urban regions with aggregate boundary queue dynamics. Transportation Research Part B: Methodological. 2017; 96: 1 – 25. DOI: 10.1016/j.trb.2016.10.016.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Kouvelas A., Saeedmanesh M., Geroliminis N. Enhancing model-based feedback perimeter control with data-driven online adaptive optimization // Transportation Research Part B: Methodological. 2017. vol. 96. pp. 26– 45. DOI: 10.1016/j.trb.2016.10.011.</mixed-citation><mixed-citation xml:lang="en">Kouvelas A., Saeedmanesh M., Geroliminis N. Enhancing model-based feedback perimeter control with data-driven online adaptive optimization. Transportation Research Part B: Methodological. 2017; 96: 26– 45. DOI: 10.1016/j.trb.2016.10.011.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Haddad J. Mirkin B. Coordinated distributed adaptive perimeter control for large-scale urban road networks // Transportation Research Part C: Emerging Technologies. 2017. vol. 77. pp. 495 515. DOI: 10.1016/j.trc.2016.12.002.</mixed-citation><mixed-citation xml:lang="en">Haddad J. Mirkin B. Coordinated distributed adaptive perimeter control for large-scale urban road networks. Transportation Research Part C: Emerging Technologies. 2017; 77: 495 515. DOI: 10.1016/j.trc.2016.12.002.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
