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Open AccessArticle

Performance Analysis of a Forecasting Relocation Model for One-Way Carsharing

u-SCM Research Center, Nano Information Technology Academy, Dongguk University, Seoul 100-715, Korea
Department of Industrial and Systems Engineering, Dongguk University, Seoul 100-715, Korea
Author to whom correspondence should be addressed.
Academic Editor: Christos Bouras
Appl. Sci. 2017, 7(6), 598;
Received: 27 March 2017 / Revised: 30 May 2017 / Accepted: 6 June 2017 / Published: 9 June 2017
(This article belongs to the Special Issue Modeling, Simulation, Operation and Control of Discrete Event Systems)
A carsharing service can be seen as a transport alternative between private and public transport that enables a group of people to share vehicles based at certain stations. The advanced carsharing service, one-way carsharing, enables customers to return the car to another station. However, one-way implementation generates an imbalanced distribution of cars in each station. Thus, this paper proposes forecasting relocation to solve car distribution imbalances for one-way carsharing services. A discrete event simulation model was developed to help evaluate the proposed model performance. A real case dataset was used to find the best simulation result. The results provide a clear insight into the impact of forecasting relocation on high system utilization and the reservation acceptance ratio compared to traditional relocation methods. View Full-Text
Keywords: transportation; carsharing; one-way; discrete event simulation transportation; carsharing; one-way; discrete event simulation
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Alfian, G.; Rhee, J.; Ijaz, M.F.; Syafrudin, M.; Fitriyani, N.L. Performance Analysis of a Forecasting Relocation Model for One-Way Carsharing. Appl. Sci. 2017, 7, 598.

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