Instance data for the study 'Real-time Vehicle Relocation and Staff Rebalancing Problem for Electric and Shared Vehicle Systems'https://doi.org/10.60933/PRDR/UJJC2UWu, TingXu, MinEltoukhy, Abdelrahman E.E.PolyU Research Data Repository2024-05-272024-05-27T06:41:33ZThis repository provides the data of randomly generated instances in the study 'Real-time Vehicle Relocation and Staff Rebalancing Problem for Electric and Shared Vehicle Systems'. The study 'Real-time Vehicle Relocation and Staff Rebalancing Problem for Electric and Shared Vehicle Systems' aims to determine the strategies of vehicle relocation, vehicle charging, and staff rebalancing in a real-time fashion by maximizing the profit of carsharing operators.EngineeringRandom dataCarsharingVehicle relocationStaff RebalancingVehicle ChargingWu, T., Xu, M., & Eltoukhy, A. E. E. (2023). Real-time vehicle relocation and staff rebalancing problem for electric and shared vehicle systems. International Journal of Production Research, 1–23., doi, 10.1080/00207543.2023.2295484, https://doi.org/10.1080/00207543.2023.2295484Link in PolyU Institutional Research Archive (PIRA), http://hdl.handle.net/10397/1046482024-05-27PolyU, Research Data Repository2024-05-27CC BY-NC 4.0