Queueing analysis for a mixed model of carsharing and ridesharing

Ayane Nakamura, Tuan Phung-Duc, Hiroyasu Ando

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAnalytical and Stochastic Modelling Techniques and Applications - 25th International Conference, ASMTA 2019, Proceedings
EditorsMarco Gribaudo, Eduard Sopin, Irina Kochetkova
PublisherSpringer Science and Business Media Deutschland GmbH
Pages42-56
Number of pages15
ISBN (Print)9783030628840
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event25th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2019 - Moscow, Russian Federation
Duration: 2019 Oct 212019 Oct 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12023 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference25th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2019
Country/TerritoryRussian Federation
CityMoscow
Period19/10/2119/10/25

Keywords

  • Mobility as a Service (MaaS)
  • Queueing analysis
  • Sharing economy

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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