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Modeling Of Passengers’ Choice Using Intelligent Agents With Reinforcement Learning In Shared Interests Systems; A Basic Approach

Author

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  • Sergey VIKHAREV

    (Ural Federal University 19 Mira, Ekaterinburg, 620002, Russia)

  • Maxim LYAPUSTIN

    (Ural Federal University 19 Mira, Ekaterinburg, 620002, Russia)

  • Danil MIRONOV

    (Ural Federal University 19 Mira, Ekaterinburg, 620002, Russia)

  • Irina NIZOVTSEVA

    (Ural Federal University 19 Mira, Ekaterinburg, 620002, Russia)

  • Vladimir SINITSYN

    (Ural Federal University 19 Mira, Ekaterinburg, 620002, Russia)

Abstract

The purpose of this paper is to build a model for assessing the satisfaction of passenger service by the public...

Suggested Citation

  • Sergey VIKHAREV & Maxim LYAPUSTIN & Danil MIRONOV & Irina NIZOVTSEVA & Vladimir SINITSYN, 2019. "Modeling Of Passengers’ Choice Using Intelligent Agents With Reinforcement Learning In Shared Interests Systems; A Basic Approach," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 14(2), pages 43-53, June.
    • Handle: RePEc:exl:1trans:v:14:y:2019:i:2:p:43-53
    DOI: 10.21307/tp.2019.14.2.4
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    References listed on IDEAS

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    1. Dea van Lierop & Madhav G. Badami & Ahmed M. El-Geneidy, 2018. "What influences satisfaction and loyalty in public transport? A review of the literature," Transport Reviews, Taylor & Francis Journals, vol. 38(1), pages 52-72, January.
    2. Jiancheng Weng & Xiaojian Di & Chang Wang & Jingjing Wang & Lizeng Mao, 2018. "A Bus Service Evaluation Method from Passenger’s Perspective Based on Satisfaction Surveys: A Case Study of Beijing, China," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    3. Hwe, Siu Kei & Cheung, Raymond K. & Wan, Yat-wah, 2006. "Merging bus routes in Hong Kong's central business district: Analysis and models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 918-935, December.
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