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 trikes 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 Stamping 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.