mirtrМир транспортаWorld of Transport and Transportation1992-3252Russian University of Transport (RUT)mirtr-425Research ArticleПРОБЛЕМЫ УПРАВЛЕНИЯADMINISTRATION, MANAGEMENT AND CONTROLМОДЕЛИРОВАНИЕ СИСТЕМ ОБСЛУЖИВАНИЯ ПАССАЖИРОВ НА ТРАНСПОРТНЫХ ОБЪЕКТАХSIMULATION OF PASSENGER SERVICE SYSTEMS AT RAILWAY STATIONSКухтаВ. Б.KuhtaV. B.

аспирант кафедры «Интеллектуальные транспортные системы»

Ph.D. student at the department of intelligent transport systems

vkukhta@mail.ruМосковский государственный университет путей сообщения (МИИТ), МоскваРоссияMoscow State University of Railway Engineering (MIIT), MoscowRussian Federation20132808201304118123Copyright © Кухта В.Б., 20132013Кухта В.Б.Kuhta V.B.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://mirtr.elpub.ru/jour/article/view/425

В работе рассмотрена структура моделей, основанных на многоагентном подходе и положениях абстрактной теории транспортных процессов и систем, предназначенных для имитации систем обслуживания пассажиров и очередей на транспортных объектах. Описаны алгоритмы поиска маршрута движения и взаимодействия моделируемых пассажиров и сервисов. Определены параметры сходимости и устойчивости транспортных процессов на объектах железнодорожной инфраструктуры при использовании каждого типа систем обслуживания. Предложены меры, повышающие качество и скорости обслуживания пассажиров в системе транспортных услуг. 

The article studies structure of models, based on multiagent approach, abstract theory of transportation process, and transport systems, destined to simulate passenger service systems at stations and other transport structures. The author describes algorithms of searching for routes of movement and interaction between simulated passengers and services. The article contains some conclusions on parameters of convergence and stability of transport processes at rail structures under different service modes. The practical implementation is illustrated at example of three simulated types of passenger service in the ticket office (hall of large rail hub station) with 12 ticket desks and entering flow of passengers estimated at 90 pers./min (5400 pers./ hour). The models are simulated with the help of JAVA platform and Repast Simphony 2.0 environment. Following the simulation the author suggests approach of implementation of the results of simulation, suggesting measures aimed at quality enhancement and service acceleration for analyzed cases.

транспортжелезная дорогатеория транспортных процессов и системмногоагентный подходмодели систем обслуживанияпассажиропотокиустойчивость процессовtransportrailwaytheory of transport process and transportation systemsmultiagent approachservice systems modelspassenger flowstability of processesReferencesДоенин В. В. Основы абстрактной теории транспортных процессов и систем. – М.: Спутник+, 2011. – 348 с. Doenin V. V. Fundamentals of abstract theory of transport processes and systems [Osnovy abstraktnoy teorii transportnyh protsessov i system].Moscow, Sputnik+ publ., 2011, 348 p.Доенин В. В. Основы абстрактной теории транспортных процессов и систем. – М.: Спутник+, 2011. – 348 с. Doenin V. V. Fundamentals of abstract theory of transport processes and systems [Osnovy abstraktnoy teorii transportnyh protsessov i system].Moscow, Sputnik+ publ., 2011, 348 p.Доенин В. В. Адаптация транспортных процессов. – М.: Спутник+, 2009. – 219 с. Doenin V. V. Adaptation of transport processes [Adaptatsiya transportnyh protsessov]. –Moscow, Sputnik+ publ., 2009, 219 p.Доенин В. В. Адаптация транспортных процессов. – М.: Спутник+, 2009. – 219 с. Doenin V. V. Adaptation of transport processes [Adaptatsiya transportnyh protsessov]. –Moscow, Sputnik+ publ., 2009, 219 p.Доенин В. В. Интеллектуальные транспортные потоки. М.: Спутник+, 2007. – 306 с. Doenin V. V. Intelligent transport flows [Intellektual’nye transportnye potoki]. Moscow, Sputnik+ publ., 2007, 306 p.Доенин В. В. Интеллектуальные транспортные потоки. М.: Спутник+, 2007. – 306 с. Doenin V. V. Intelligent transport flows [Intellektual’nye transportnye potoki]. Moscow, Sputnik+ publ., 2007, 306 p.Macal C. M., North M. J. Tutorial on agent-based modelling and simulation. // Journal of Simulation, № 4 (3), 2010.Macal C. M., North M. J. Tutorial on agent-based modelling and simulation. // Journal of Simulation, № 4 (3), 2010.Shiwakoti N., Sarvi M., Rose G. Modeling pedestrian behavior under emergency conditions: State-of-the-art and future directions. // Australasian Transport Research Forum, 2008.Shiwakoti N., Sarvi M., Rose G. Modeling pedestrian behavior under emergency conditions: State-of-the-art and future directions. // Australasian Transport Research Forum, 2008.Zhang Q., Baoming H., Dewei L. Modeling and simulation of passenger alighting and boarding movement in Beijing metro stations. // Transportation Research Part C: Emerging Technologies 16, № 5, 2008.Zhang Q., Baoming H., Dewei L. Modeling and simulation of passenger alighting and boarding movement in Beijing metro stations. // Transportation Research Part C: Emerging Technologies 16, № 5, 2008.Li De Wei,BaoMing Han.Modeling Queue Service System in Pedestrian Simulation. // Advanced Materials Research 187, 2011Li De Wei,BaoMing Han.Modeling Queue Service System in Pedestrian Simulation. // Advanced Materials Research 187, 2011Yanagisawa, D., Suma Y., Tanaka Y., Tomoeda A., Ohtsuka K., Nishinari K. Methods for Improving Efficiency of Queuing Systems. // Pedestrian and Evacuation Dynamics, 2011.Yanagisawa, D., Suma Y., Tanaka Y., Tomoeda A., Ohtsuka K., Nishinari K. Methods for Improving Efficiency of Queuing Systems. // Pedestrian and Evacuation Dynamics, 2011.

The authors declare that there are no conflicts of interest present.