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Instance data for the study 'Real-time Vehicle Relocation and Staff Rebalancing Problem for Electric and Shared Vehicle Systems'

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doi.org2024-05-27 更新2025-03-23 收录
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https://doi.org/10.60933/PRDR/UJJC2U
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This 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.

本仓库提供了研究《针对电动及共享车辆系统的实时车辆调度与人员再平衡问题》中随机生成实例的数据。该研究旨在通过最大化汽车共享运营商的利润,实时确定车辆调度、车辆充电及人员再平衡的策略。
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doi.org
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