As an alternative to traditional taxi services, Transportation Network Companies (TNCs) such as Uber and Lyft are playing an increasingly important role in the paradigm shifting from car ownership to mobility as a service. We consider an electric vehicle fleet charging scheduling problem in the TNC setting where taxi drivers, as freelancers, have their individual preferences regarding when and where to charge their vehicles. In this setting, obtaining social welfare maximizing schedules is particularly difficult as drivers may behave strategically in competing over shared charging resources to advance their own benefits rather than the system wide social welfare. We propose a negotiation mechanism which allows drivers to collectively evolve an incumbent schedule into a socially beneficial one through an iterative voting process. The proposed mechanism provides a platform which enables multilateral negotiation among a large number of drivers. We prove that, given the design of the proposed mechanism, drivers’ best response strategy is to truthfully vote their best valued candidate schedules according to the acceptance quota prescribed by the scheduler at each voting round. In addition, experiment results show that the mechanism achieves on average 93% efficiency compared with optimal solutions and scales well to larger problem instances.

作为传统出租车服务的替代品，优步和 Lyft 等运输网络公司 (TNC) 在从汽车所有权向移动即服务转变的范式中发挥着越来越重要的作用。我们考虑在 TNC 环境中的电动车队充电调度问题，其中出租车司机作为自由职业者，在何时何地为他们的车辆充电有他们的个人偏好。在这种情况下，获得社会福利最大化时间表特别困难，因为司机可能会在竞争共享充电资源时采取战略性行为，以提高自己的利益，而不是系统范围的社会福利。我们提出了一种协商机制，允许司机通过迭代投票过程将现有时间表集体演变为对社会有益的时间表。提议的机制提供了一个平台，可以在大量驱动程序之间进行多边协商。我们证明，鉴于所提出的机制的设计，司机的最佳响应策略是根据调度程序在每轮投票中规定的接受配额，如实投票给他们最有价值的候选人时间表。