TY - GEN
T1 - Queueing analysis for a mixed model of carsharing and ridesharing
AU - Nakamura, Ayane
AU - Phung-Duc, Tuan
AU - Ando, Hiroyasu
N1 - Funding Information:
This study was supported by the joint program of the University of Tsukuba and Toyota Motor Corporation, titled ?Research on the next generation social systems and mobilities?.
Funding Information:
Acknowledgments. This study was supported by the joint program of the University of Tsukuba and Toyota Motor Corporation, titled “Research on the next generation social systems and mobilities”.
Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Sharing services such as carsharing and ridesharing have been widely spreading in our modern society. This paper considers “Car Ride Sharing (CRS)” which is a mixed model of carsharing and ridesharing. CRS is a new means of transportation which shares “car” and “ride” simultaneously and it is expected to reduce the redistribution cost of cars. We introduce CRS to a scenario with two points between which transportation service by bus already exists. We model this system as a queuing model, formulated by a Markov chain of GI/M/1-type, and derive the steady state distribution of the queue-length. Besides, we derive the stability condition which must be satisfied to ensure proper function of CRS and some performance measures such as average waiting time of customers. Based on these results, we conduct some numerical experiments to show the effectiveness and possibility of CRS.
AB - Sharing services such as carsharing and ridesharing have been widely spreading in our modern society. This paper considers “Car Ride Sharing (CRS)” which is a mixed model of carsharing and ridesharing. CRS is a new means of transportation which shares “car” and “ride” simultaneously and it is expected to reduce the redistribution cost of cars. We introduce CRS to a scenario with two points between which transportation service by bus already exists. We model this system as a queuing model, formulated by a Markov chain of GI/M/1-type, and derive the steady state distribution of the queue-length. Besides, we derive the stability condition which must be satisfied to ensure proper function of CRS and some performance measures such as average waiting time of customers. Based on these results, we conduct some numerical experiments to show the effectiveness and possibility of CRS.
KW - Mobility as a Service (MaaS)
KW - Queueing analysis
KW - Sharing economy
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U2 - 10.1007/978-3-030-62885-7_4
DO - 10.1007/978-3-030-62885-7_4
M3 - Conference contribution
AN - SCOPUS:85097273583
SN - 9783030628840
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 42
EP - 56
BT - Analytical and Stochastic Modelling Techniques and Applications - 25th International Conference, ASMTA 2019, Proceedings
A2 - Gribaudo, Marco
A2 - Sopin, Eduard
A2 - Kochetkova, Irina
PB - Springer Science and Business Media Deutschland GmbH
T2 - 25th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2019
Y2 - 21 October 2019 through 25 October 2019
ER -