Citation

Nourinejad M, Roorda MJ. Transp. Res. E Logist. Transp. Rev. 2014; 66: 36-50.

Copyright

(Copyright © 2014, Elsevier Publishing)

DOI

10.1016/j.tre.2014.03.003

PMID

unavailable

Abstract

This paper proposes a dynamic optimization-simulation model as a decision support system for one-way carsharing organizations. To reduce the vehicle imbalance in one-way systems, a Vehicle Relocation Optimization model is solved successively in a discrete event simulation. Each event is the arrival of a new user. The model is compared to an a priori benchmark model. Autoshare is chosen as a case study.

RESULTS show that increasing the reservation time (time between requesting and picking up a vehicle) from 0 to 30 min reduces fleet size by 86%. The model captures a tradeoff between vehicle relocation hours and fleet size.