Using the agent-oriented simulation model finding route parameters in an automated public transport management system

In current paper an analysis has been performed and automated public transport management system, which allows tracking the current position of public transport units, pay fare and search for acceptable parameters of public transport routes, has been proposed. Finding of acceptable route parameters...

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Збережено в:
Бібліографічні деталі
Дата:2019
Автори: Zadorozhnii, A.О., Dorosh, M.S., Bohdan, I.V., Svetenok, L.K.
Формат: Стаття
Мова:English
Опубліковано: Інститут проблем математичних машин і систем НАН України 2019
Назва видання:Математичні машини і системи
Теми:
Онлайн доступ:http://dspace.nbuv.gov.ua/handle/123456789/162302
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Цитувати:Using the agent-oriented simulation model finding route parameters in an automated public transport management system / A.О. Zadorozhnii, M.S. Dorosh, I.V. Bohdan, L.K. Svetenok // Математичні машини і системи. — 2019. — № 3. — С. 120–128. — Бібліогр.: 12 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
Опис
Резюме:In current paper an analysis has been performed and automated public transport management system, which allows tracking the current position of public transport units, pay fare and search for acceptable parameters of public transport routes, has been proposed. Finding of acceptable route parameters is achieved by using of proposed simulation agent-oriented model with such parameters as the traffic interval and the amount of public transport vehicles on the route. The possibility of finding acceptable parameters of the route in such a way that the number of passengers at stops went to zero has been demonstrated on an example of one of the public transport routes. Performed experiments confirmed the effectiveness of the proposed model for solving problem of finding acceptable parameters of the route due to the organization of maintenance in such a way that the number of passengers at the stops was close to zero. Perspectives for further research are the extension of the developed system by increasing the number of input parameters and integrating it with other public transport management systems.