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Authors: Ayane Nakamura 1 ; Tuan Phung-Duc 1 and Hiroyasu Ando 2 ; 3

Affiliations: 1 Graduate School of Science and Technology, University of Tsukuba, Tsukuba, Ibaraki 305-8577, Japan ; 2 Advanced Institute for Materials Research, Tohoku University, Sendai, Miyagi 980-8577, Japan ; 3 Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Ibaraki 305-8577, Japan

Keyword(s): Queueing Model, Transportation, Ride-sharing, Heuristic Solution.

Abstract: Sharing mobilities, such as car-sharing and ride-sharing, have been widely spreading recently. In this paper, we consider Car/Ride-Share (CRS) system, which is one of the demand responsive transportations. We consider the scenario where CRS is introduced on the circular bus route. We propose its theoretical and heuristic solutions using queueing theory. We validate the heuristic analysis by comparing with the theoretical result through some numerical examples.

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Paper citation in several formats:
Nakamura, A.; Phung-Duc, T. and Ando, H. (2022). Queueing Model of Circular Demand Responsive Transportation System: Theoretical Solution and Heuristic Solution. In Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-548-7; ISSN 2184-4372, SciTePress, pages 193-199. DOI: 10.5220/0010845300003117

@conference{icores22,
author={Ayane Nakamura. and Tuan Phung{-}Duc. and Hiroyasu Ando.},
title={Queueing Model of Circular Demand Responsive Transportation System: Theoretical Solution and Heuristic Solution},
booktitle={Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - ICORES},
year={2022},
pages={193-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010845300003117},
isbn={978-989-758-548-7},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - ICORES
TI - Queueing Model of Circular Demand Responsive Transportation System: Theoretical Solution and Heuristic Solution
SN - 978-989-758-548-7
IS - 2184-4372
AU - Nakamura, A.
AU - Phung-Duc, T.
AU - Ando, H.
PY - 2022
SP - 193
EP - 199
DO - 10.5220/0010845300003117
PB - SciTePress

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