- Tytuł:
- Modeling of passengers’ choice using intelligent agents with reinforcement learning in shared interests systems; A basic approach
- Autorzy:
-
Vikharev, Sergey
Lyapustin, Maxim
Mironov, Danil
Nizovtseva, Irina
Sinitsyn, Vladimir - Powiązania:
- https://bibliotekanauki.pl/articles/961509.pdf
- Data publikacji:
- 2019
- Wydawca:
- Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
- Tematy:
-
intelligent agents
transport choosing model
passenger satisfaction index
transport quality
inteligentni agenci
wybór modelu transportu
wskaźnik satysfakcji pasażera
jakość transportu - Opis:
- 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.
- Źródło:
-
Transport Problems; 2019, 14, 2; 43-53
1896-0596
2300-861X - Pojawia się w:
- Transport Problems
- Dostawca treści:
- Biblioteka Nauki
Artykuł