TY - GEN
T1 - Queueing Analysis of a Mixed Model of Public and Demand Responsive Transportations
AU - Nakamura, Ayane
AU - Phung-Duc, Tuan
AU - Ando, Hiroyasu
N1 - Funding Information:
19K12198, 18K18006, 21K11765, JST MIRAI No. JPMJMI19B. This study is supported by F-MIRAI: R&D Center for Frontiers of MIRAI in Policy and Technology, the University of Tsukuba and Toyota Motor Corporation collaborative R&D center.
Funding Information:
Acknowledgments. This work is partly supported by JSPS KAKENHI Nos.
Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - In this research, we discuss Car/Ride-Share (CRS), which is a novel concept of Demand Responsive Transportation (DRT) aiming at reducing the uneven distribution of cars in traditional carsharing service and the congestion of cars and people. We model a scenario where CRS service is introduced between a spot (e.g., university, company, etc.) and its nearest train station by a bus company using queueing theory. Then, using an approximation model, we derive the probability density function of the required time (the sum of waiting and traveling times) for the customers considering the road congestion. Further, we show some numerical results of the distribution of the required time and discuss the effectiveness of CRS depending on road congestion. We confirm that the excessive introduction of CRS may be ineffective when the road is congested from the perspective of the required time.
AB - In this research, we discuss Car/Ride-Share (CRS), which is a novel concept of Demand Responsive Transportation (DRT) aiming at reducing the uneven distribution of cars in traditional carsharing service and the congestion of cars and people. We model a scenario where CRS service is introduced between a spot (e.g., university, company, etc.) and its nearest train station by a bus company using queueing theory. Then, using an approximation model, we derive the probability density function of the required time (the sum of waiting and traveling times) for the customers considering the road congestion. Further, we show some numerical results of the distribution of the required time and discuss the effectiveness of CRS depending on road congestion. We confirm that the excessive introduction of CRS may be ineffective when the road is congested from the perspective of the required time.
KW - Queueing theory
KW - Road congestion
KW - Transportation systems
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U2 - 10.1007/978-3-030-91825-5_28
DO - 10.1007/978-3-030-91825-5_28
M3 - Conference contribution
AN - SCOPUS:85121913614
SN - 9783030918248
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 457
EP - 471
BT - Performance Engineering and Stochastic Modeling - 17th European Workshop, EPEW 2021, and 26th International Conference, ASMTA 2021, Proceedings
A2 - Ballarini, Paolo
A2 - Castel, Hind
A2 - Dimitriou, Ioannis
A2 - Iacono, Mauro
A2 - Phung-Duc, Tuan
A2 - Walraevens, Joris
PB - Springer Science and Business Media Deutschland GmbH
T2 - 17th European Performance Engineering Workshop, EPEW 2021, and the 26th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2021
Y2 - 13 December 2021 through 14 December 2021
ER -