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Dynamic Vehicle Redistribution and Online Price Incentives in Shared Mobility Systems

机译：共享出行系统中的动态车辆再分配和在线价格激励

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摘要

This paper considers the efficient operation of shared mobility systems via the combination of intelligent routing decisions for staff-based vehicle redistribution and real-time price incentives for customers. The approach is applied to London's Barclays Cycle Hire scheme, which the authors have simulated based on historical data. Using model-based predictive control principles, dynamically varying rewards are computed and offered to customers carrying out journeys, based on the current and predicted state of the system. The aim is to encourage them to park bicycles at nearby underused stations, thereby reducing the expected cost of redistributing them using dedicated staff. In parallel, routing directions for redistribution staff are periodically recomputed using a model-based heuristic. It is shown that it is possible to trade off reward payouts to customers against the cost of hiring staff to redistribute bicycles, in order to minimize operating costs for a given desired service level.
机译：本文通过结合基于员工的车辆再分配的智能路由决策和对客户的实时价格激励，来考虑共享出行系统的高效运行。该方法应用于伦敦的Barclays Cycle Hire计划，该计划的作者根据历史数据进行了模拟。使用基于模型的预测控制原理，可以基于系统的当前状态和预测状态来计算动态变化的奖励并将其提供给执行旅程的客户。目的是鼓励他们将自行车停在附近未充分利用的车站，从而降低使用专门人员重新分配自行车的预期成本。同时，使用基于模型的启发式方法定期重新计算重新分配人员的路由方向。结果表明，可以在补偿给客户的报酬与雇用员工重新分配自行车的成本之间进行权衡，以在给定的所需服务水平上将运营成本降至最低。

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