Instance data for the study 'Real-time Vehicle Relocation and Staff Rebalancing Problem for Electric and Shared Vehicle Systems'doi:10.60933/PRDR/UJJC2UPolyU Research Data Repository2024-05-271Wu, Ting; Xu, Min; Eltoukhy, Abdelrahman E.E., 2024, "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/UJJC2U, PolyU Research Data Repository, V1, UNF:6:MPSm2Y6+cfVtRW+vvMwhLQ== [fileUNF]Instance data for the study 'Real-time Vehicle Relocation and Staff Rebalancing Problem for Electric and Shared Vehicle Systems'doi:10.60933/PRDR/UJJC2UWu, TingXu, MinEltoukhy, Abdelrahman E.E.PolyU Research Data RepositoryWu, TingPolyU, Research Data Repository2024-05-27EngineeringRandom dataCarsharingVehicle relocationStaff RebalancingVehicle ChargingThis 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.Wu, 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, 1–23.10.1080/00207543.2023.2295484Wu, 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.Link in PolyU Institutional Research Archive (PIRA)Link in PolyU Institutional Research Archive 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