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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">10.26518/2071-7296-2026-23-4-568-581</article-id><article-id custom-type="edn" pub-id-type="custom">WKNPXY</article-id><article-id custom-type="elpub" pub-id-type="custom">sibadi-2312</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>Оценка параметров транспортных потоков на перегруженных участках опорной дорожной сети курортного региона</article-title><trans-title-group xml:lang="en"><trans-title>Assessment of traffic flow parameters on congested sections of the primary road network of the resort region</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0000-9241-4072</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Рунец</surname><given-names>Р. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Runets</surname><given-names>R. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Рунец Роман Сергеевич - генеральный директор Центра дорожных инноваций и Института транспортного развития; аспирант Московского автомобильно-дорожного государственного технического университета (МАДИ)</p><p>350040, г. Краснодар, ул. Таманская, д. 182/4</p><p>125319, г. Москва, Ленинградский проспект, д. 64</p><p>Scopus ID: 60608780500, Researcher ID: PYZ-2364-2026</p></bio><bio xml:lang="en"><p>Runets Roman S. - General Director, Center of Road Innovations LLC and Institute of Transport Development LLC; Postgraduate Student, Moscow Automobile and Road Construction State Technical University (MADI) </p><p>182/4, Tamanskaya Street, Krasnodar, Krasnodar Region,350040</p><p>64, Leningradskiy Prospekt, Moscow, 125319</p><p>Scopus ID: 60608780500, Researcher ID: PYZ-2364-2026</p></bio><email xlink:type="simple">rrunets@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ООО «Центр дорожных инноваций», ООО «Институт транспортного развития»;&#13;
Московский автомобильно-дорожный государственный технический университет (МАДИ)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>“Center of Road Innovations” Limited Liability Company, “Institute of Transport Development” Limited Liability Company; &#13;
Moscow Automobile and Road Construction State Technical University (MADI)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>04</day><month>09</month><year>2026</year></pub-date><volume>23</volume><issue>4</issue><fpage>568</fpage><lpage>581</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Рунец Р.С., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Рунец Р.С.</copyright-holder><copyright-holder xml:lang="en">Runets R.S.</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/2312">https://vestnik.sibadi.org/jour/article/view/2312</self-uri><abstract><sec><title>Введение</title><p>Введение. В статье предложен подход к определению параметров транспортных потоков на перегруженных участках опорной дорожной сети курортного региона, ориентированный на оценку потерь времени и наземной транспортной доступности туристских и транспортных узлов. Рассмотрены два репрезентативных участка федеральных автомобильных дорог Краснодарского края: участок М-4 «Дон» с последовательным снижением числа полос движения и участок А-147 в границах п. Дагомыс с регулируемыми пересечениями.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. Исходная база сформирована на основе проектов организации дорожного движения, данных стационарных детекторов транспорта, навигационных сервисов и натурных обследований методом «плавающего автомобиля». Для сопоставления применены расчетная функция Bureau of Public Roads, подход Highway Capacity Manual и имитационное транспортное моделирование.</p></sec><sec><title>Результаты</title><p>Результаты. Показано, что сезонный туристический спрос и маятниковая миграция формируют выраженную неравномерность интенсивности движения. Максимальная месячная интенсивность на участке М-4 «Дон» в августе достигает 1,35 млн авт./мес., что на 256,2% выше февральских значений низкого туристического сезона. На участке А-147 интенсивность возрастает до 1,36 млн авт./мес., что на 43,7% превышает интенсивность, зафиксированную в феврале. В пиковые периоды скорость движения снижается до 8–11 км/ч, а протяженность очередей достигает 9,8 км на М-4 и 2,4 км на А-147. </p></sec><sec><title>Обсуждение и заключение</title><p>Обсуждение и заключение. Расчетные методы дают сглаженную оценку условий движения и занижают время проезда в режиме перегрузки. Имитационная модель воспроизводит накопление транспортных средств, распространение очередей и режимы stop-and-go, поэтому ее целесообразно использовать как основной инструмент анализа заторовых участков и выбора адресных мероприятий по повышению эффективности функционирования сети.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction. The article proposes an approach to determining traffic flow parameters on congested sections of the primary road network in a resort region, aimed at estimating time losses and road transport accessibility of tourist and transport hubs. Two representative sections of federal highways in Krasnodar Krai have been considered: M-4 “Don” section with a sequential reduction in the number of traffic lanes, and A-147 section within the boundaries of Dagomys settlement with controlled intersections.</p></sec><sec><title>Materials and Methods</title><p>Materials and Methods. The initial database was compiled from traffic management projects, data from stationary traffic detectors, navigation services, and field surveys using the floating car method. For comparison, the Bureau of Public Roads function, the Highway Capacity Manual approach, and traffic simulation modeling have been applied. </p></sec><sec><title>Results</title><p>Results. It is shown that seasonal tourist demand and commuting migration create significant unevenness in traffic intensity. On M-4 “Don” highway, the maximum monthly traffic volume in August reaches 1.35 million vehicles per month, which is 256.2% higher than the figures recorded in February during the low tourist season. On A-147 highway, traffic intensity increases to 1.36 million vehicles per month, exceeding the February level by 43.7%. During peak periods, traffic speed decreases to 8–11 km/h, while queue lengths reach 9.8 km on M-4 and 2.4 km on A-147. </p><p>Discussion and Conclusion. Calculation methods provide a smoothed assessment of traffic conditions and underestimate travel time under congested conditions. The simulation model reproduces vehicle accumulation, queue propagation, and stop-and-go regimes; therefore, it is advisable to use it as the primary tool for analyzing congested sections and selecting targeted measures to improve network efficiency.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>транспортный поток</kwd><kwd>автомобиль</kwd><kwd>курортный регион</kwd><kwd>затор</kwd><kwd>имитационное моделирование</kwd></kwd-group><kwd-group xml:lang="en"><kwd>traffic flow</kwd><kwd>vehicle</kwd><kwd>resort region</kwd><kwd>traffic congestion</kwd><kwd>simulation modeling</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">Mohammadian S., Zheng Z., Haque M.M., Bhaskar A. Continuum modeling of freeway traffic flows: State-of-the-art, challenges and future directions in the era of connected and automated vehicles // Communications in Transportation Research. 2023. 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