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Название: | Modeling of passengers’ choice using intelligent agents with reinforcement learning in shared interests systems; a basic approach |
Авторы: | Vikharev, S. Lyapustin, M. Mironov, D. Nizovtseva, I. Sinitsyn, V. |
Дата публикации: | 2019 |
Издатель: | Silesian University of Technology |
Библиографическое описание: | Modeling of passengers’ choice using intelligent agents with reinforcement learning in shared interests systems; a basic approach / S. Vikharev, M. Lyapustin, D. Mironov, I. Nizovtseva, et al. . — DOI 10.20858/tp.2019.14.2.4 // Transport Problems. — 2019. — Vol. 2. — Iss. 14. — P. 43-53. |
Аннотация: | The purpose of this paper is to build a model for assessing the satisfaction of passenger service by the public transport system. The system is constructed using intelligent agents, whose action is based on self-learning principles. The agents are passengers who depend on transport and can choose between two modes: a car or a bus wherein their choice of transport mode for the next day is based on their level of satisfaction and their neighbors’ satisfaction with the mode they used the day before. The paper considers several algorithms of agent behavior, one of which is based on reinforcement learning. Overall, the algorithms take into account the history of the agents’ previous trips and the quality of transport services. The outcomes could be applied in assessing the quality of the transport system from the point of view of passengers. © 2019 Silesian University of Technology. All rights reserved. |
Ключевые слова: | INTELLIGENT AGENTS PASSENGER SATISFACTION INDEX TRANSPORT CHOOSING MODEL TRANSPORT QUALITY |
URI: | http://elar.urfu.ru/handle/10995/90404 |
Условия доступа: | info:eu-repo/semantics/openAccess cc-by |
Идентификатор SCOPUS: | 85069224902 |
Идентификатор WOS: | 000472066700004 |
Идентификатор PURE: | 10263518 |
ISSN: | 1896-0596 |
DOI: | 10.20858/tp.2019.14.2.4 |
Сведения о поддержке: | Russian Science Foundation, RSF: 17-71-20108 The authors acknowledge the support from the Russian Science Foundation (project No. 17-71-20108) |
Карточка проекта РНФ: | 17-71-20108 |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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10.20858-tp.2019.14.2.4.pdf | 621,23 kB | Adobe PDF | Просмотреть/Открыть |
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