Abstract
An improved service of carsharing, one-way service enables customers use the vehicles from one station and return to other station. The common issue in one-way carsharing service is that the vehicle stock of each station become imbalance, thus will lead to the less customer satisfaction and less utilization of vehicles. Consequently, the relocation is used by the system to move the appropriate vehicle to high demand station in order to elevate customer satisfaction. This paper will demonstrate the Ant Colony Optimization for relocation in one-way carsharing system based on simulation model. Computational simulation result on commercially operational data of carsharing in South Korea is involved to solve relocation problem in one-way system. The result we have obtained in this study provide a clear insight into the impact of Ant Colony Optimization for relocation problem on utilization of system and high customer satisfaction.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Korean Institute Of Industrial Engineers |
| Publisher | Korean Institute Of Industrial Engineers |
| Pages | 1859-1866 |
| Number of pages | 8 |
| Publication status | Published - 8 Apr 2013 |
| Externally published | Yes |
Keywords
- one-way carsharing
- relocation
- Ant Colony Optimization