Vehicle-relocation optimization for one-way carsharing

Kyoung Hoon Kim, Young Hoon Lee

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Carsharing is becoming one of the fastest growing industries. In contrast to a round-trip system, the one-way carsharing system permits to return the rented vehicle to another station. Inevitably, one-way system results in vehicle inventory imbalance issues and periodical vehicle relocations are required as a result. This paper deals with the issue using two optimization models: CArsharing NO relocation with MAximal demand satisfaction (CANOMA) and Carsharing RElocation with MAximal demand satisfaction (CREMA). The CANOMA model looks into the optimal solution of vehicle inventory and allocation without vehicle relocation, while the CREMA model searches for the optimal solution of vehicle inventory, allocation, and relocation with periodic vehicle relocation. Various experiments are conducted to prove the efficiency of vehicle relocation. In comparison with CANOMA, CREMA shows a lower level of vehicle inventory, a higher level of vehicle allocation and utilization required for meeting same customer demand via efficient vehicle relocation.

Original languageEnglish
Pages (from-to)468-482
Number of pages15
JournalInternational Journal of Industrial Engineering : Theory Applications and Practice
Issue number5
Publication statusPublished - 2017

Bibliographical note

Publisher Copyright:
©International Journal of Industrial Engineering.

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering


Dive into the research topics of 'Vehicle-relocation optimization for one-way carsharing'. Together they form a unique fingerprint.

Cite this