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Journal articles on the topic 'Anylogic'

Author: Grafiati

Published: 4 June 2021

Last updated: 24 January 2023

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1

Шамлицкий, Я. И., Shamlichky Ya.I., А. С. Охота, Okhota A.S., С. Н. Мироненко, and Mironenko S.N. "Моделирование транспортных потоков в среде AnyLogic." Международный журнал "Программные продукты и системы" 33 (August 31, 2018): 0. http://dx.doi.org/10.15827/0236-235x.123.0.

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Калугин and A. Kalugin. "Optimization Task Solving in AnyLogic Environment." Profession-Oriented School 3, no. 3 (June 17, 2015): 56–64. http://dx.doi.org/10.12737/11751.

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The paper delivers detailed description of computer optimization experiment recommended for conducting while learning Computer Modeling within Informatics course. The article contains methodological recommendations, necessary illustrations, and tasks for individual work. Concrete example illustrates application of new kinds of learning activity in AnyLogic computer modeling environment that is free of charge for educational purposes.

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Morozkov, A. G., and M. R. Yazvenko. "SIMULATION OF A SEA CARGO PORT AS A QUEUING SYSTEM IN ANYLOGIC." System analysis and logistics 4, no. 26 (December 17, 2020): 59–66. http://dx.doi.org/10.31799/2007-5687-2020-4-59-66.

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The article presents simplified queuing system model of freight marine port. The article discusses the basic elements of queuing system, its mathematical solution and structure. Simulation model was created using AnyLogic to analyze an effect of system capacity on queue length. The results were analyzed and the solution for queue optimization was proposed. Key words: queuing system, simulation modeling, AnyLogic, marine port, servers, queue.

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Skuba, Michal, and Aleš Janota. "Simplification of deep reinforcement learning in traffic control using the Bonsai Platform." Journal of Civil Engineering and Transport 2, no. 4 (December 31, 2020): 191–202. http://dx.doi.org/10.24136/tren.2020.014.

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The paper deals with the problem of traffic light control of road intersection. The authors use a model of a real road junction created in the AnyLogic modelling tool. For two scenarios, there are three simulation experiments performed ? fixed time control, fixed time control after AnyLogic-based optimizations, and dynamic control obtained through the cooperation of the AnyLogic tool and the Bonsai platform, utilizing benefits of deep reinforcement learning. At present, there are trends to simplify machine learning processes as much as possible to make them accessible to practitioners with no artificial intelligence background and without the need to become data scientists. Project Bonsai represents an easy-to-use connector, that allows to use AnyLogic models connected to the Bonsai platform - a novel approach to machine learning without the need to set any hyper-parameters. Due to unavailability of real operational data, the model uses simulation data only, with presence and movement of vehicles only (no pedestrians). The optimization problem consists in minimizing the average time that agents (vehicles) must spend in the model, passing the modelled intersection. Another observed parameter is the maximum time of individual vehicles spent in the model. The authors share their practical, mainly methodological, experiences with the simulation process and indicate economic cost needed for training as well.

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Evtushenko, A. E., L. A. Privalova, and Y. D. Nizyaeva. "INTEGRATION OF WATER TRANSPORT IN THE TRANSPORT SYSTEM OF SAINT PETERSBURG." System analysis and logistics 4, no. 26 (December 17, 2020): 80–90. http://dx.doi.org/10.31799/2007-5687-2020-4-80-90.

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This article offers the possibility of introducing a water route for passenger transport in Saint Petersburg. Potential routes developed on the basis of Anylogic software are presented. The results and experiences of previous projects are evaluated. The time spent on the road is compared for 4 types of transport: automobile, metro, public land and water. Measures are proposed to instill popularity in this type of transport. Keywords: water tram, water passenger transport, Saint Petersburg, aquabus, Anylogic.

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Andres, Beatriz, Raquel Sanchis, and Raul Poler. "Modelado y simulación de la cadena de suministro con AnyLogic®." Modelling in Science Education and Learning 9, no. 1 (January 27, 2016): 57. http://dx.doi.org/10.4995/msel.2016.3520.

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<p><em>En este artículo se presenta una herramienta de software AnyLogic</em><em>, para el modelado y simulación de la Cadena de Suministro (CS) proporcionando ayuda a la toma de decisiones a través de la simulación de escenarios de un mismo modelo de CS. AnyLogic</em><em> da soporte a las metodologías de simulación más conocidas: sistemas de eventos discretos, dinámica de sistemas y modelado de agentes. Este artículo se centra en el contexto de dinámica de sistemas permitiendo la simulación de dos tipos de CS: colaborativa y no-colaborativa. Finalmente, se presenta un ejemplo ilustrativo en AnyLogic</em><em> que permite comparar los dos modelos de CS (i) no-colaborativa vs. (ii) colaborativa, caracterizada por un modelo de Inventario Administrado por el Proveedor (en inglés Supplier Managed Inventory, SMI), en la que existe colaboración entre el proveedor y el fabricante de la CS.</em></p>

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Р.Р., Галимов,, Тихоновский, В.В., Гарафутдинова, Л.В., Риксен, В.С., and Кизимова, Т.А. "CROP HARVESTING MODEL IN ANYLOGIC SIMULATION TOOL." Южно-Сибирский научный вестник, no. 6(46) (December 20, 2022): 324–32. http://dx.doi.org/10.25699/sssb.2022.46.6.052.

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В данной работе представлены результаты разработки имитационной модели уборочных работ сельскохозяйственных культур в среде AnyLogic. Работа выполнена на данных конкретного землепользования по внутрихозяйственной логистике одного из предприятий Новосибирской области (ОС Элитная, р.п. Краснообск: 54°54'57"с.ш., 82°57'6"в.д.). В основу модели заложены математические зависимости сроков созревания основных сельскохозяйственных культур в зависимости от их требований к условиям теплообеспеченности территории (сумм температур воздуха ∑t>10ºC), а также выполнена кластеризация культур по их назначению (кормовые и зерновые). В основе расчётного модуля также использовали параметры машинно-технологического обеспечения предприятия: ширина жатки комбайнов, объем бункера комбайнов и кузовов обслуживающих транспортных средств (ОТС), площади участков, назначение и урожайность сельскохозяйственных культур. Описано построение структуры работы взаимодействия комбайнов с ОТС, учитывая их технические характеристики, фактические и прогнозные данные суточных метеопараметров. Продемонстрирована возможность использования имитационной среды AnyLogic для решения частных задач в области сельскохозяйственного производства. Имитационная модель может быть использована в качестве инструмента поддержки принятия решений при планировании тактики и стратегии проведения уборочных работ, а также оптимизации уборочно-транспортных процессов в растениеводстве. This paper presents the results of the development of a simulation model of harvesting crops in the AnyLogic environment. The work was carried out on the data of a specific land use for on-farm logistics of one of the enterprises of the Novosibirsk region (Elite OS, Krasnoobsk: 54°54'57" s.w., 82°57'6" v.d.). The model is based on mathematical dependences of the maturation dates of the main crops depending on their requirements for the conditions of heat supply of the territory (sums of air temperatures ∑t>10ºC), and clustering of crops according to their purpose (fodder and grain) is also performed. The calculation module was also based on the parameters of the machine and technological support of the enterprise: the width of the harvester harvester, the volume of the hopper of the harvesters and the bodies of the servicing vehicles (OTS), the area of the plots, the purpose and yield of agricultural crops. The construction of the structure of the interaction of combines with OTS is described, taking into account their technical characteristics, actual and forecast data of daily meteorological parameters. The possibility of using the AnyLogic simulation environment for solving particular problems in the field of agricultural production is demonstrated. The simulation model can be used as a decision support tool when planning tactics and strategies for harvesting operations, as well as optimizing harvesting and transport processes in crop production.

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Bao, Guang Bin, Ke Xia Zhang, and Hong Zhao. "Research on Information Technology with Modeling and Simulating of Video Grid." Advanced Materials Research 886 (January 2014): 655–59. http://dx.doi.org/10.4028/www.scientific.net/amr.886.655.

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Based on video grid structure, A Video Grid model was established using AnyLogic simulation software. First, the components required for modeling functions are introduced, and then create a model entity, video service processes, animation and analysis chart. Simulation results show that the AnyLogic-based video grid model, the model parameters can be adjusted, not only from the macroscopic dynamic observation of the entire system dynamics, but also from the microscopic measurement of the specified components. The construction of the actual video grid can provide a decision support.

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Anenko, S. A., and M. N. Rasskazova. "DEVELOPMENT OF A SIMULATION MODEL FOR THE DISTRIBUTION OF PASSENGER FLOWS AT THE AIRPORT." Applied Mathematics and Fundamental Informatics 8, no. 2 (2021): 018–28. http://dx.doi.org/10.25206/2311-4908-2021-8-2-18-28.

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The author of the article demonstrates the capabilities of simulation using the example of the AnyLogic PLE system. For this purpose, a model of the passenger service process in the airport building was built. A series of experiments aimed at studying the properties of the created model and collecting statistical information has been set. Further, the analysis of the obtained results was carried out and recommendations were made regarding the modernization of the modeled process. AnyLogic PLE proved to be an effective tool for the development, analysis and optimization of process models.

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Chernyshev, S. A. "DEVELOPING SIMULATION MODELS WITHIN THE CONSTRAINTS ANYLOGIC PLE." Вестник Санкт-Петербургского государственного университета технологии и дизайна. Серия 1: Естественные и технические науки, no. 1 (2021): 53–58. http://dx.doi.org/10.46418/2079-8199_2021_1_8.

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Сократов, N. Sokratov, Илюшин, and V. Ilyushin. "SIMULATION SERVICE STATIONS FOREST MACHINES IN SYSTEM ANYLOGIC." Alternative energy sources in the transport-technological complex: problems and prospects of rational use of 2, no. 2 (December 17, 2015): 506–9. http://dx.doi.org/10.12737/19359.

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The article shows the basics of using a software modeling system AnyLogic in the organization and design of service stations and car park equipment for logging, as well as a description of the promising opportunities the introduction of this technology into actual production.

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Novikov, Aleksandr, Sergey Eremin, and Andrei Kulev. "Formation of recommendations for the selection of types of connections for different types of crossroads based on the generalized imitation model." MATEC Web of Conferences 298 (2019): 00047. http://dx.doi.org/10.1051/matecconf/201929800047.

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The paper deals with the issues of the transport network imitation modeling. Preliminary the authors analyzed the main modeling systems, which include Aimsun, MATSim, Anylogic, PTV VISUM and others. All these instrumental tools have the ability to form an arbitrary structure of the transport network. The research showed, however, for the small sections of the street road network (SRN), such as the crossroad, the Anylogic system is more efficient and makes it possible to parameterize the model, which can be used to model various structures of the crossroad. In this regard, the paper proposes a generalized model of the crossroad and, based on its modeling, gives recommendations for choosing the type of crossroads at different intensities of traffic flows.

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Makarov, V. L., R. A. Bakhtizin, G. L. Beklaryan, and A. S. Akopov. "Simulation modeling of the smart city system: The concept, methods, and cases." Economic Analysis: Theory and Practice 19, no. 2 (February 28, 2020): 226–50. http://dx.doi.org/10.24891/ea.19.2.226.

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Subject. The research investigates key processes of urban life and its maintenance, including food supply, infrastructure, fire security, quality and accessibility of medical services, etc. The article also discusses the creation of a system supporting the Smart City decision-making process. Objectives. The research develops methods and tools to manage the Smart City system through system dynamics and agent-based modeling. Methods. Using simulation modeling, namely system dynamics and agent-based modeling (supported via Powersim and AnyLogic), we evaluate how multiple guiding parameters influence crucial characteristics of the Smart City system. Results. We devised an approach to designing the Smart City system through methods of system dynamics and agent-based modeling (supported via Powersim and AnyLogic) intended to streamline the decision making process for reasonable urban planning. Conclusions and Relevance. We propose the consolidated architecture of the Smart City decision-making system integrating the simulation models, data storage and city monitoring subsystem. The article describes the cases of simulation models implemented via Powersim and AnyLogic to support rational urban planning. The simulation models will significantly improve the quality of urban environment, satisfy the demand for food products, provide access to healthcare services and ensure effective rescue actions in case of emergency.

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Kostenko, Vladimir V., Nikita S. Belykh, Maksim V. Chetchuev, Alexander S. Shepel, and Vladimir P. Fedorov. "Development of model freight magnetic levitation terminal." Transportation systems and technology 3, no. 3 (September 15, 2017): 39–53. http://dx.doi.org/10.17816/transsyst20173339-53.

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On the basis of schemes of cargo magnetic levitation stations, developed by the specialists of the Department of "Railway stations and junctions" of Emperor Alexander I St. Petersburg State Transport University, and the technology to transport goods over discrete-continuous principles created a model that allows to perform dynamic experiments to identify significant design parameters and performance of magnetic levitation terminals. Goal: To identify dependencies of key operating parameters of freight terminals required for their design and choice of rational performance of basic elements and devices. Method: In order to solve this problem, it is proposed to use a simulation method by means of a programme AnyLogic. Results: The technological algorithm of a freight station was developed, on the basis of which in the software environment of AnyLogic of the Russian company “the AnyLogic Company” the simulation model was built, and necessary report data were obtained - the required number and capacity of loading and unloading equipment, annual turnover of terminal, the average time spent on the platforms at the station and unproductive downtime of magnetic levitation platforms. Practical importance: The model verification has shown that the proposed simulation method allows to determine and justify the required parameters of the freight terminal of magnetic levitation lines, which will ensure rational spending of the funds for their construction and required processing ability.

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Semenenko, Yurii. "STUDY OF POSSIBILITIES OF MEANS FOR SUMILATION MODELING." Sworld-Us Conference proceedings, usc12-01 (September 30, 2019): 36–39. http://dx.doi.org/10.30888/2709-2267.2022-12-01-001.

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Враховуючи сучасні умови діяльності компаній на висококонкурентному ринку виникає потреба в моделюванні діяльності як окремих відділів так і компаній загалом. В роботі розкриваються можливості засобу для імітаційного моделювання AnyLogic. Taking into acco

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Shmulevich, M. I., and A. E. Starikov. "DEPENDENCE OF TRAIN SORTING TIME ON THE TURNOUT TRACK AND DURATION OF SEMI-TRIP." World of Transport and Transportation 14, no. 5 (October 28, 2016): 46–55. http://dx.doi.org/10.30932/1992-3252-2016-14-5-5.

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For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version).ABSTRACT The duration of sorting of the train on the turnout track is determined by the known formula Tsort = A•g + B•m. At the same time, the duration of all semi-trips - arrival of the locomotive behind the part of the train, its extension to the turnout track, sorting and reverse pulling of the remaining cars - were calculated according to the formula ts/t = a + bm, which is now replaced by a new method for adjusting the shunting operations. The article presents the results of a study that made it possible to derive a formula for calculating the duration of the sorting of a train on the turnout track based on a different calculation of the duration of semi-trips. Keywords: railway, turnout track, duration of sorting, duration of semi-trip, calculation formulas. REFERENCES 1.Time norms for shunting operations performed at railway stations of JSC Russian Railways, standards for the number of shunting locomotive crews (2007) [Normy vremeni na manevrovye raboty, vypolnjaemye na zheleznodorozhnyh stancijah OAO «RZhD», normativy chislennosti brigad manevrovyh lokomotivov (2007 g.)]. 2.Order of the Ministry of Railways of the Russian Federation dated September 29, 2003, No.67 «On approval of the procedure for developing and determining the technological terms of turnover of cars and technological norms for loading cargo into cars and unloading cargo from cars» [Prikaz MPS RF ot 29 sentjabrja 2003 g. № 67 «Ob utverzhdenii porjadka razrabotki i opredelenija tehnologicheskih srokov oborota vagonov i tehnologicheskih norm pogruzki gruzov v vagony i vygruzki gruzov iz vagonov»]. 3.Kochnev, F.P., Sotnikov, I. B. Management of the operational work of railways: educational guide for universities [Upravlenie ekspluatacionnoj rabotoj zheleznyh dorog: Ucheb. posobie dlja vuzov].Moscow, Transport publ., 1990, 424 p. 4.Shmulevich, M.I., Starikov, A. E. Features of Regulation of Shunting Operations in the Station Simulation Model.World of Transport and Transportation, Vol.13, Iss.5, pp.198-212. 5.Shmulevich, M.I., Starikov, A. E. Structure of the simulation model of an industrial railway station and its implementation in the AnyLogic system [Struktura imitacionnoj modeli promyshlennoj zheleznodorozhnoj stancii i ee realizacija v sisteme AnyLogic].Promyshlennyj transport XXI vek, 2016, Iss.3-4, pp.20-24. 6.The AnyLogic Company.2015.AnyLogic - Multimethod Simulation Software.[Electronic resource]: http://www.anylogic.com.Last accessed 29.10.2015. 7.Petersen, E.R.Railyard Modeling: Part I.Prediction of Put-Through Time, Transportation Science, 1977, vol.11, no.1, February. 8.Baugher, R.Application of Any Logic to Railroad Operation Analysis.Any Logic Conference, December, 2013. 9.Lin, E., Cheng, C.Yard Sim.A Rail Yard Simulation Framework and its Implementation in a Major Railroad in the U.S.Proceedings of the 2009 Winter Simulation Conference // Edited by M.D.Rossetti, R.R.Hill, B.Johansson, A.Dunkin, R.G.Ingalls.Piscataway, New Jersey, Institute of Electrical and Electronics Engineers, Inc.2009, pp.2532-2541. 10.Clausen, U., Goedicke, I.Simulation of Yard Operations and Management in Transshipment Terminals.Proceedings of the 2012 Winter Simulation Conference.2012. 11.Kiseleva, M. V. Simulation modeling of systems in Anylogic environment.Teaching-methodical manual [Imitacionnoe modelirovanie sistem v srede Anylogic. Uchebno-metodicheskoe posobie].Ykaterinburg, USTU-UPI, 2009, 88 p.

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Андронов, С. А., and Andronov S.A. "Сравнение эффективности адаптивных алгоритмов светофорного регулирования в среде AnyLogic." Международный журнал "Программные продукты и системы" 24 (February 26, 2019): 150–58. http://dx.doi.org/10.15827/0236-235x.125.150-158.

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Андронов, С. А., and Andronov S.A. "Сравнение эффективности адаптивных алгоритмов светофорного регулирования в среде AnyLogic." Международный журнал "Программные продукты и системы" 24 (February 26, 2019): 150–58. http://dx.doi.org/10.15827/0236-235x.125.150-158.

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Sun, Jian, and Rijia Ding. "Comparative Study on Two Queuing Way Based on AnyLogic." Journal of Computational and Theoretical Nanoscience 13, no. 3 (March 1, 2016): 2065–70. http://dx.doi.org/10.1166/jctn.2016.5156.

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Borshchev, Andrei, Yuri Karpov, and Vladimir Kharitonov. "Distributed simulation of hybrid systems with AnyLogic and HLA." Future Generation Computer Systems 18, no. 6 (May 2002): 829–39. http://dx.doi.org/10.1016/s0167-739x(02)00055-9.

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. Bauer, Vladimir, Artem V. Bazanov, Evgeniy S. Kozin, Vasiliy M. Nemkov, and Aleksandr A. Mukhortov. "OPTIMIZATION OF TECHNOLOGICAL TRANSPORT SETS USING ANYLOGIC SIMULATION ENVIRONMENT." Journal of Mechanical Engineering Research & Developments 42, no. 2 (April 4, 2019): 41–43. http://dx.doi.org/10.26480/jmerd.02.2019.41.43.

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Плотникова, А. А., and Г. Б. Анисимова. "Анализ работы сырьевого склада с помощью имитационной модели учета спроса на продукцию." Тенденции развития науки и образования 85, no. 1 (2022): 36–39. http://dx.doi.org/10.18411/trnio-05-2022-08.

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Проектирование дискретной имитационной модели в среде AnyLogic 8.7.3 по движению сырья на складе пищевого производства в зависимости от статичного и рыночного спроса, а также изменения уровня объемов поставок, с учетом значений начальных и минимальных запасов.

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Светушков, Н. Н., and К. А. Перепелица. "Simulation tools for approach selection when solving the multicriteria traveling salesman problem." Informacionno-technologicheskij vestnik, no. 4(30) (December 15, 2021): 127–36. http://dx.doi.org/10.21499/2409-1650-30-4-127-136.

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Развитие глобальной экономики приводит к возникновению различных логистических задач по оптимизации как маршрутов доставки, так и необходимости уложиться в заданные временные интервалы для каждого из клиентов. Полный перебор при большом количестве заказчиков, как известно, вызывается определённые проблемы даже на современной вычислительной базе. Поэтому методы решения классической задачи коммивояжёра остаются актуальными, тем более, что возникают специализированные программные среды, которые позволяют не только отобразить найденный маршрут, но и привязать его к реальной карте местности. Дополнительное преимущество, связанное с имитационным моделированием оптимизации процессов доставки, является возможность найти не один маршрут, а целый набора с различными, но близкими по значению критериями оптимальности, что может помочь глубже проанализировать текущую задачу в случае возникновения каких-либо непредвиденных ситуаций. В статье анализируются возможности программной среды имитационного моделирования AnyLogic и предлагается новый алгоритм перебора, основанный на выделении отдельных групп клиентов. Совмещение предлагаемого алгоритма с возможностями AnyLogic позволит создать законченное информационное приложение, которое можно использовать при практической работе в логистических компаниях. Тhe development of the global economy leads to the emergence of various logistics tasks to optimize both delivery routes and the need to meet the specified time intervals for each of the customers. Completely full search with a large number of customers, as is known, might to cause certain problems even on a modern computing base. Therefore, methods for solving the classic traveling salesman problem remain relevant, especially since specialized software environments are emerging that allow not only displaying the found route, but also linking it to a real map of the area. An additional advantage associated with simulation modeling of the optimization of delivery processes is the ability to find not one route, but a whole set with different but similar optimality criteria, which can help to analyze the current task in depth in the event of any unforeseen situations . The article analyzes the capabilities of the software environment for simulation AnyLogic and proposes a new search algorithm based on the selection of individual groups of clients. Combining the proposed algorithm with the capabilities of AnyLogic will create a complete information application that can be used in practical work in logistics companies.

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Toktakunov, T., K. T. Osmonov, and A. B. Chopoev. "SIMULATION SIMULATIONS OF CAPACITY-RAISING IN ROAD SECTIONS WITH REGULATED INTERSECTIONS." Herald of KSUCTA n a N Isanov, no. 1-2020 (April 6, 2020): 15–23. http://dx.doi.org/10.35803/1694-5298.2020.1.15-23.

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On sections of roads in Bishkek with regulated intersections, the task of improving the capacity of vehicles with the condition of preventing traffic accidents is being explored. The method of combining methods of experience, mathematical modeling and simulation using the AnyLogic package is offered.

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MASLEEV, A. I., A. D. KULYAZIN, M. P. KARETNIKOVA, and A. V. LIPENKOV. "EVALUATION OF THE EFFICIENCY OF THE ANT COLONY METHOD FOR THE VRP PROBLEM." World of transport and technological machines 78, no. 3-3 (2022): 92–104. http://dx.doi.org/10.33979/2073-7432-2022-3(78)-3-92-104.

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The paper considers one of the meta-heuristic methods for the VRP problem - the ant colony aldorithm. Its variations are given. The algorithm of the method, its mathematical model and parameters are considered. The stage of algoritmiztion are considered in AnyLogic professional modeling environment.

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Мутовкина, Н. Ю., N. Yu Mutovkina, Н. А. Семенов, and N. A. Semenov. "Модель изменения типов интеллектуальных агентов в методологии системной динамики AnyLogic." Международный журнал "Программные продукты и системы" 36 (March 20, 2018): 145–51. http://dx.doi.org/10.15827/0236-235x.121.145-151.

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Gnilenko, A. "Simulation modeling of a computer system multithreaded architecture using AnyLogic." System technologies 1, no. 138 (March 30, 2022): 157–65. http://dx.doi.org/10.34185/1562-9945-1-138-2022-15.

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The simulation is the most effective way to investigate information processing in computer systems. Computer system simulation is advantageous due to the fact, that such class of systems are well formalized in the form of queuing systems. Any computer system can be considered in terms of queuing system theory as an interconnected set of requests for service, system re-sources, queues to resources, and rules of service. The problem with the study of computer systems is that the existing simulation software tools have been developed as universal tools for the study of general-purpose systems. There are no specialized libraries or separate modeling tools for the study of computer systems. Therefore, modeling computer systems based on the use of standard libraries of such a modern modeling tool as AnyLogic, and the possible creation of elements of a specialized library is of great importance. The objective of the paper is to model multithreaded computing in a multiprocessor computer system using AnyLogic software. The designed computer system diagram enables us to have a deep insight into all details of information processing, and the obtained characteris-tics of the computer system, such as CPU usage coefficients, queue dynamics, distribution of thread execution time in the system, etc., allow us to determine the most effective configuration of the system, the parameters of its elements and operation modes.

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Benčat, Gabriel, and Aleš Janota. "Road traffic modelling based on the hybrid modelling tool AnyLogic." Journal of Civil Engineering and Transport 2, no. 2 (October 14, 2020): 73–89. http://dx.doi.org/10.24136/tren.2020.006.

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The increasing complexity of modelled systems opens up questions of combining several modelling approaches in order to achieve higher efficiency and the required clarity of the simulations performed. For this reason, in addition to standard application-oriented modelling tools, we can see the growing popularity of the so-called hybrid or multimethod modelling approaches. A typical representative of such a modelling environment is the AnyLogic general-purpose modelling tool. This article describes the authors' experience with this tool in solving a selected problem in the field of modelling transport processes in urban areas. Using the example of the uncontrolled selected intersection, the procedure of creating a model with a more detailed analysis of its selected parts is discussed. The model based on real conditions is elaborated and compared with the model containing the fictitious traffic light control. Comparison is based on measuring the time that vehicles moving in the critical direction spend in the model. Both discussed models are stored in the cloud and may be run and study free.

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Konkina, Vera, and Alexey Martynushkin. "Forecasting the size of the dairy market in anylogic environment." E3S Web of Conferences 282 (2021): 01002. http://dx.doi.org/10.1051/e3sconf/202128201002.

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The current situation at the market for food and agricultural raw materials is difficult, and critical for some industries. The processes of import substitution, that is, shaking-out imported products from the markets and the growth of domestic production, have significant differences for segments of the food market. There was a significant differentiation of food markets in the following main indicators: the growth rate of domestic production, the share of imports in resources, the share of exports in production, and the amount of state support. However, 2020 showed that the course taken by the Government and the Ministry of Agriculture of the Russian Federation for import substitution was not fully implemented, and a large share of products is imported from third countries that were not included in the sanctions list. Economic and mathematical modeling can partially solve this problem. Analysis of scientific literature on modeling the equilibrium at agri-food markets showed the absence of any actual domestic development. The most famous foreign conceptual models dated back to 1990-2000. The Organization for Economic Cooperation and Development (OECD) and the World Bank have developed such general and private equilibrium models as RUNS (Rural-Urban North South), MRT (Regional Trade MRT, Harrison), AGLINK COSIMO, etc. These recursive-dynamic models make it possible to determine the equilibrium parameters for the main types of products for almost all countries of the world, including the Russian Federation and all agricultural markets. However, the introduction of sanctions has stopped work in this direction.

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Nemkov, M. V., V. V. Poptsov, and V. M. Nemkov. "OPTIMIZATION OF TECHNOLOGICAL TRANSPORT KITS USING THE SIMULATION ENVIRONMENT ANYLOGIC." Intelligence. Innovations. Investment, no. 7 (2019): 112–19. http://dx.doi.org/10.25198/2077-7175-2019-7-112.

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李, 文君. "Evacuation Simulation of Special Crowds in Hospital Based on Anylogic." Modeling and Simulation 08, no. 03 (2019): 85–94. http://dx.doi.org/10.12677/mos.2019.83011.

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Wai, Phyo Aung, and Andrey Vladimirovich Ostroukh. "Development of Simulation Model Mixed System in the AnyLogic Software." International Journal of Advanced Studies 4, no. 4 (January 14, 2015): 48. http://dx.doi.org/10.12731/2227-930x-2014-4-7.

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Вэй, Пьо Аунг. "Development of Simulation Model Mixed System in the AnyLogic Software." Automation and Control in Technical Systems, no. 3 (January 19, 2015): 104. http://dx.doi.org/10.12731/2306-1561-2014-3-9.

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Verawati, K., W. Hadi, F. N. Hidayatullah, and A. P. D. Wahyuni. "Simulation and Modelling Queue of The Ship Betel Stacking Using The Anylogic: Case Study at Port of PT Pelabuhan Indonesia (Pelindo) Sunda Kelapa Region 2." Journal of Physics: Conference Series 2406, no. 1 (December 1, 2022): 012026. http://dx.doi.org/10.1088/1742-6596/2406/1/012026.

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Abstract In the midst of the development of the industrial era 4.0 to 5.0, technology plays an important role in various sectors, one of which is transportation. This concept uses science-based Internet of Things, Artificial Intelligence and Robots. The use of applications and other software is the main method for humans to carry out their daily lives, including in the transportation industry, one of which is the Port. The purpose of this paper is to create a ship queue simulation model with a betel stacking system at PT Pelabuhan Sunda Kelapa Region 2. The methodology used for modeling this queue simulation is Anylogic by conducting simulation experiments. simulation model line, the Company can determine the ship queue decision by using betel stacking. The existence of this anylogic system is expected to be able to solve various problems, create many innovations and be able to improve the quality of human resources in various activities, especially in the transportation industry sector which continues to transform until now.

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Kozin, Sergey, Dmitriy Markin, and Sergey Makeev. "Modeling the process of positioning of radio signal sources in geoinformation systems." InterCarto. InterGIS 27, no. 2 (2021): 291–305. http://dx.doi.org/10.35595/2414-9179-2021-2-27-291-305.

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The application of the tools of the Anylogic simulation model development environment is described, which makes it possible to clearly understand the basic principles of identifying mobile objects that are sources of radio emission. The article presents the main research results of various approaches to solving the problem of positioning radio signal sources based on measuring the level of its power by base stations of wireless data transmission networks. The positioning problem was solved under conditions of high mobility of the radio signal source. To solve the problem, a set of methods was used: trilateration, fuzzy logic, statistical test method (Monte Carlo), splitting method, as well as heuristic. The results obtained were tested in the developed prototypes in the form of simulation models in the Anylogic environment. Field measurements made in real operating conditions of positioning systems were used as initial data. Within the framework of this work, the following main results were obtained: implementation of a complex of modeling algorithms that carry out a number of random processes: motion of radio signal sources and propagation of radio waves; algorithms that implement the analytical calculation of the estimated location area based on various methods. A complex of simulation models of positioning systems has been developed, which makes it possible to visualize the determination of the location of a radio signal source in an urban environment, taking into account its mobility. Conclusions are formulated regarding the results of the conducted research. The scientific significance of the work lies in the development of a heuristic positioning algorithm based on sector partitioning and fuzzy logic. The practical value of the work lies in the development of a set of algorithms and their practical implementation in the form of applications in the Java language for the Anylogic modeling environment, which allow investigating the effectiveness of various predictive algorithms for positioning accuracy.

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MAKSIMOVA, NADEZHDA NIKOLAEVNA. "OPTIMIZATION OF THE BANK'S DIVISION WORK USING SIMULATION MODELING." Messenger AmSU, no. 95 (2021): 20–26. http://dx.doi.org/10.22250/jasu.95.3.

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The paper presents the construction in the AnyLogic program and the study of the queuing system simulation model, which is a division of the bank; the main characteristics of the system are calculated, the results of the simulation model are analyzed and recommendations for optimizing the work of the department are given.

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Akopov, Andranick. "Development of a Multi-sector Bounded-Neighbourhood Model with intersectoral commodity-money interactions." Artificial societies 17, no. 2 (2022): 0. http://dx.doi.org/10.18254/s207751800020178-4.

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The article presents an approach to the development of an extended multi-sector bounded-neighbourhood with differentiated types of resources and intersectoral commodity-money interactions with implementation in the AnyLogic simulation tools. A feature of this approach is, firstly, a high degree of sectoral disaggregation (e.g., 42 types of economic activity are considered), and secondly, the three-level architecture of the proposed multi-agent system, which includes high-tech and low-tech resources as workplaces differentiated by types of economic activity (branches of the economy), and also multiple agents-individuals: natives and migrants with their own rules of behaviour and characteristics, and agents-sectors that provide the necessary structure of employment. We study the issues of software implementation of such a multi-level system in the AnyLogic, as well as the influence of the most important parameters of the model, in particular, such as the inflow rate of new migrants, dimensionality of forming industry clusters (i.e., a number of workplaces), level of wages by branches of the economy, etc. on the employment structure and the dynamics of gross domestic product, respectively.

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Stennikov, Valery, and Gleb Mayorov. "Research of A Multiagent Model of An Integrated Energy Supply System Developed in the Anylogic Software Environment." E3S Web of Conferences 209 (2020): 03024. http://dx.doi.org/10.1051/e3sconf/202020903024.

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The main goal of the paper is to develop and study an integrated energy supply system model in the AnyLogic software environment using a multiagent approach. Creating a single integrated system will allow: to implement new functionalities; increase reliability by improving redundancy and faster decision making in normal and emergency situations; determine the most profitable supply route individually for each consumer, based on cost and design features; participate consumers with their own energy sources in the process of energy supply of the system. The multiagent model of the integrated energy supply system was created in the AnyLogic software environment, which uses advanced technologies for modeling complex systems that will allow the most visual and detailed display of the interaction mechanisms of objects in the system and analyze the results. This study describes in detail the resulting multiagent model, its main agents, and their state diagrams. A description and analysis of an experiment conducted using this model is also provided. The results show that the multiagent model of the integrated energy supply system works correctly and performs all the specified functions.

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MAKSIMOVA, NADEZHDA NIKOLAEVNA, and VLADISLAV OLEGOVICH SALMIYANOV. "OPTIMIZATION OF THE TRAFFIC FLOW SIMULATION MODEL AT A REGULATED INTERSECTION." Messenger AmSU, no. 95 (2021): 3–11. http://dx.doi.org/10.22250/jasu.95.1.

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In this paper the traffic flow simulation model at a regulated intersection presents (on the example of the intersection of Kalinina and Tenistaya streets in Blagoveshchensk). The study of the simulation model was carried out in the AnyLogic program. An optimization experiment was carried out to minimize the travel time of the intersection by vehicles.

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Neupokoeva, E. O., V. V. Bystrov, and S. N. Malygina. "Overview of transport and logistics simulation models of the AnyLogic cloud platform." Transaction Kola Science Centre 11, no. 8-2020 (December 16, 2020): 46–57. http://dx.doi.org/10.37614/2307-5252.2020.8.11.004.

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The article is devoted to the analysis of existing simulation models in the field of transport logistics. The overview presented in this paper includes a brief description of some models that are publicly available on the AnyLogic Cloud platform. For each model considered, its advantages and disadvantages are given, and the possibilities of using their components for the development of an original multi-model complex of the transport and logistics system of the Arctic region are noted.

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Malygina, Svetlana N., and Elena O. Neupokoeva. "Development of a simulation model of personnel logistics of a production cluster." Transaction Kola Science Centre 12, no. 5-2021 (December 27, 2021): 117–27. http://dx.doi.org/10.37614/2307-5252.2021.5.12.010.

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The article discusses the development of a simulation model of a production cluster by means of the Anylogic University 8.7 software tool system using agent-based and system-dynamic approaches. The authors focus on isualization tools and software implementation of algorithms for the movement of labor resources within the cluster enterprises, taking into account various restrictions.

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Belova, Ekaterina Aleksandrovna, and Olga Ashotovna Martirosova. "SIMULATION OF THE RAMSAY VIRUS VERSION 2.B IN THE ANYLOGIC SOFTWARE ENVIRONMENT." Chronos 7, no. 11(73) (December 13, 2022): 108–9. http://dx.doi.org/10.52013/2658-7556-73-11-30.

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The paper describes in detail the principles of the Ramsay version 2.b virus, shows the vulnerability that is exploited by malicious files, describes the principle of the virus with a visual illustration of the scheme of the components of the Ramsay version 2.b virus, and simulates the Ramsay version 2.b virus in the AnyLogic software package.

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Mokshin, V. V., A. P. Kirpichnikov, and A. I. Soiko. "Simulation and optimization of the cargo terminal in the AnyLogic environment." Journal of Physics: Conference Series 1368 (November 2019): 042082. http://dx.doi.org/10.1088/1742-6596/1368/4/042082.

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Liang, Yan Jiao, and Zhen Zhou Yuan. "Assignment Performance at Beijing South Railway Station Based on Anylogic Simulation." Advanced Materials Research 989-994 (July 2014): 2283–87. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2283.

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Assignment simulation can make a great contribution to understanding the pedestrian dynamics. Relying on the statistical data at Beijing South Railway Station, we simulate the passenger flow assigned at service establishments, provided by density parameters changing. Then, simulation result can illustrate that the passenger flow presents regular aggregation state and the density of station platform has periodic change. Furthermore, the interaction between boarding and alighting tracks and various bottlenecks are demonstrated at the platform, in which the congestion performance is applied at improving the LOS (level of service) as well as supporting passenger flow organization strategies. Finally, the proposed performances are analyzed qualitatively.

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Zhao, Na, and Shi An. "Collaborative Management of Complex Major Construction Projects: AnyLogic-Based Simulation Modelling." Discrete Dynamics in Nature and Society 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/6195673.

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Complex supply chain system collaborative management of major construction projects effectively integrates the different participants in the construction project. This paper establishes a simulation model based on AnyLogic to reveal the collaborative elements in the complex supply chain management system and the modes of action as well as the transmission problems of the intent information. Thus it is promoting the participants to become an organism with coordinated development and coevolution. This study can help improve the efficiency and management of the complex system of major construction projects.

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Рrоkоfiеvа, M. S., and S. А. Andronov. "VARIANTS FOR IMPLEMENTING MACHINE LEARNING WITH REINFORCEMENT IN THE ANYLOGIC PROGRAM." System analysis and logistics 4, no. 34 (December 20, 2022): 61–72. http://dx.doi.org/10.31799/2077-5687-2022-4-61-72.

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Artificial intelligence methods are widely applied in the detection of type problems. There are many variations of machine learning, among which reinforcement learning occupies a special place. At present, there is no answer to the teacher's question, but there is a response from the environment. Such environments can be real (for example, on random roads, in confined airspace, or on a training assembly line) or natural. Simulation software tools allow you to create realistic artificial intelligence environments, safely train and test learning agents. Including such approaches to solving various business problems. This article is devoted to the analysis of implementation options for a coupling simulation model with machine learning with reinforcement, used in the proposed software product, to identify their features, shortcomings and shortcomings.

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Mazurenko, O. I., and I. A. Rusinov. "DISCRETE-EVENT SIMULATION MODELLING OF SEA COAL TERMINAL WAREHOUSE USING ANYLOGIC." Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 14, no. 2 (June 28, 2022): 181–98. http://dx.doi.org/10.21821/2309-5180-2022-14-2-181-198.

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The issues of simulation modeling of complex transport nodes and systems are considered in the paper. It has been determined that warehouses in seaports act as buffers and smooth out the resulting difference in incoming and outgoing cargo traffic between land and sea transport. When designing offshore coal terminals, choosing the size, layout and equipment of a warehouse is one of the cornerstones. The basic principles for the placement of coal piles, depending on the size and capacity of an open warehouse, the size of ship lots and the average shelf life are provided in the paper. One of the main indicators that determine the correctness of choosing the size and layout of an open warehouse is the coefficient of utilization of the warehouse capacity. Formulas for its calculation are given. The principles of stacking coal in piles are further defined in the paper. There are four main laying methods - conical, chevron, layering and windowed. Next, the dependence of the coal storage density on the mass of the stack and the utilization rate of the warehouse on the average storage time of the cargo is determined. It is concluded that it is possible to fully assess the impact of stochastic events occurring in the terminal warehouse only with the use of simulation modeling. Further, it is determined that mixing and homogenization operations can be carried out in open warehouses. The differences and principles of these processes are given. Approaches to the selection of warehouse equipment and cyclical machines are identified, the advantages and disadvantages of the various types of warehouse machines are indicated. Definitions of technical and operational performance of machines are given. The Anylogic environment is chosen for modeling. Using environment elements, a digital copy of the coal terminal warehouse, serving the material flow - bulk cargoes, is created. Further, a detailed explanation of the principles and approach to creating a digital model is given, the internal and external links of the elements are clarified. In conclusion, information about the options for setting up and managing the model, and brief information about the results obtained are given.

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Tkachenko, S. N., A. A. Shpilevoy, A. I. Zakharov, V. I. Burmistrov, and E. P. Stavitskaya. "Modelling of manufacturing process on the example of electro-pneumatic control unit." Journal of Physics: Conference Series 2131, no. 2 (December 1, 2021): 022108. http://dx.doi.org/10.1088/1742-6596/2131/2/022108.

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Abstract The work describes the developed imitative model of manufacturing process on the example of control unit, specifically a plate, and testing of its performance. The process of model development is performed in AnyLogic software. Authors demonstrate modeling results and formulate manufacturing process optimization recommendations on its basis. The article shows expediency of imitative model applying for checkout of technological operations.

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Semenov, Sergey P., and Yuriy M. Kolosov. "Computer simulation of pedestrian flows in the biathlon center." Yugra State University Bulletin 12, no. 2 (June 15, 2016): 54–56. http://dx.doi.org/10.17816/byusu201612254-56.

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We construct a simulation model for pedestrian flows allowing to solve the problems of calculation of flow capacity of a stadium, to consider different configurations of physical space and pedestrian zones, to provide statistics information for pedestrian flows, and to visualize statistics in the form of maps of densities of pedestrian flows. The model is realized with the use of the software bandle AnyLogic.

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Sokolovska, Z. M., N. V. Yatsenko, and M. V. Khortiuk. "The Simulation Models of Activities of IT Firms on the Basis of AnyLogic Platform." Business Inform 6, no. 497 (2019): 61–76. http://dx.doi.org/10.32983/2222-4459-2019-6-61-76.

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