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Ð”Ð°Ð½Ð½Ð°Ñ Ñ€Ð°Ð±Ð¾Ñ‚Ð° поÑвÑщена раÑÑмотрению и анализу учаÑтка автомобильного Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ Ð³Ð¾Ñ€Ð¾Ð´Ñкой Ñети, позволÑющей на реальном учаÑтке транÑпортной Ñети принимать Ñффективное решение по наÑтройке регулируемых параметров поÑредÑтвом Ð¼Ð¾Ð´ÐµÐ»Ð¸Ñ€Ð¾Ð²Ð°Ð½Ð¸Ñ Ð² ПК AnyLogic и Avenue2.0. Задачи, которые решалиÑÑŒ в ходе иÑÑледованиÑ: 1. Ðнализ ÑущеÑтвующих методов и методик по проектированию и регулированию дорожного Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ Ð²Ð½ÑƒÑ‚Ñ€Ð¸ дорожно-транÑпортной Ñети; 2. Изучение программных комплекÑов позволÑющих моделировать учаÑтки дорожно-транÑпортной Ñети; 3. Формирование показателей Ð´Ð»Ñ Ð¾Ñ†ÐµÐ½ÐºÐ¸ ÑффективноÑти имитационной модели; 4. Сбор иÑходных данных Ð´Ð»Ñ Ð¿Ð¾ÑÑ‚Ñ€Ð¾ÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ и Ð¾Ð¿Ñ€ÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð¿Ð¾ÐºÐ°Ð·Ð°Ñ‚ÐµÐ»ÐµÐ¹ Ð´Ð»Ñ Ð¾Ñ†ÐµÐ½ÐºÐ¸ качеÑтва транÑпортной Ñети; 5. СоÑтавление имитационной модели на примере учаÑтка дорожно-транÑпортной Ñети Ñ ÑƒÑ€ÐµÐ³ÑƒÐ»Ð¸Ñ€Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ транÑпортных потоков; 6. ÐÐ¿Ñ€Ð¾Ð±Ð°Ñ†Ð¸Ñ Ñ€ÐµÐ·ÑƒÐ»ÑŒÑ‚Ð°Ñ‚Ð¾Ð² и методичеÑкие рекомендации по имитационной модели Ñ Ð¸Ñпользованием ПК AnyLogic и Avenue2.0. Ð’ работе предÑтавлена Ð¿Ð¾Ð´Ñ€Ð¾Ð±Ð½Ð°Ñ Ð¿Ð¾ÑледовательноÑть Ñбора данных их обработки и Ñоздание имитационной модели, раÑчетов Ñ€ÐµÐ³ÑƒÐ»Ð¸Ñ€Ð¾Ð²Ð°Ð½Ð¸Ñ Ñ‚Ñ€Ð°Ð½Ñпортной Ñети, на примере Ñветофорных фаз, Ñоздание модели перекреÑтков Ñ ÑƒÑ‡ÐµÑ‚Ð¾Ð¼ интенÑивноÑти Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ Ð² ПК AnyLogic и Avenue2.0.
This work is devoted to the consideration and analysis of the section of automobile traffic of the city network, allowing on a real section of the transport network to make an effective decision on the adjustment of regulated parameters through modeling in PC AnyLogic and Avenue2.0. The tasks that were solved in the course of the research: 1. Analysis of existing methods and techniques for design and re-regulation of traffic within the road network; 2. Study of software complexes that allow modeling of road network sections; 3. Formation of indicators to assess the effectiveness of the simulation model; 4. Collection of initial data for building the model and determining indicators for assessing the quality of the transportation network; 5. Compilation of the simulation model on the example of the road network section with the regulation of traffic flows; 6. Approbation of the results and methodological recommendations on the simulation model using AnyLogic and Avenue2.0 software packages. The paper presents a detailed sequence of data collection, processing and creation of a simulation model, calculations of transport network regulation, using the example of traffic light phases, creation of a crossing model with traffic intensity calculations in AnyLogic and Avenue2.0 SPs.
simulation model, graph theory, transport network, имиÑаÑÐ¸Ð¾Ð½Ð½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ, ÑеоÑÐ¸Ñ Ð³ÑаÑов, network planning theory, ÑÑанÑпоÑÑÐ½Ð°Ñ ÑеÑÑ, доÑожнÑе заÑоÑÑ, ÑеоÑÐ¸Ñ ÑеÑевого планиÑованиÑ, road networks, ÑлиÑно-доÑÐ¾Ð¶Ð½Ð°Ñ ÑеÑÑ, street and road network
simulation model, graph theory, transport network, имиÑаÑÐ¸Ð¾Ð½Ð½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ, ÑеоÑÐ¸Ñ Ð³ÑаÑов, network planning theory, ÑÑанÑпоÑÑÐ½Ð°Ñ ÑеÑÑ, доÑожнÑе заÑоÑÑ, ÑеоÑÐ¸Ñ ÑеÑевого планиÑованиÑ, road networks, ÑлиÑно-доÑÐ¾Ð¶Ð½Ð°Ñ ÑеÑÑ, street and road network
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popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |