A Vehicle Coordination and Charge Scheduling Algorithm for Electric Autonomous Mobility-on-Demand Systems

Felix Boewing, Maximilian Schiffer, Mauro Salazar, M. Pavone
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引用次数: 22

Abstract

This paper presents an algorithmic framework to optimize the operation of an Autonomous Mobility-on-Demand system whereby a centrally controlled fleet of electric self-driving vehicles provides on-demand mobility. In particular, we first present a mixed-integer linear program that captures the joint vehicle coordination and charge scheduling problem, accounting for the battery level of the single vehicles and the energy availability in the power grid. Second, we devise a heuristic algorithm to compute near-optimal solutions in polynomial time. Finally, we apply our algorithm to realistic case studies for Newport Beach, CA. Our results validate the near optimality of our method with respect to the global optimum, whilst suggesting that through vehicle-to-grid operation we can enable a 100% penetration of renewable energy sources and still provide a high-quality mobility service.
电动自主移动按需系统的车辆协调与充电调度算法
本文提出了一种算法框架,用于优化自动驾驶按需出行系统的运行,该系统由集中控制的电动自动驾驶汽车车队提供按需出行。特别是,我们首先提出了一个混合整数线性规划,该规划捕获了联合车辆协调和充电调度问题,考虑了单个车辆的电池水平和电网中的能量可用性。其次,我们设计了一种启发式算法来计算多项式时间内的近最优解。最后,我们将我们的算法应用于加利福尼亚州纽波特海滩的实际案例研究。我们的结果验证了我们的方法相对于全局最优的接近最优性,同时表明通过车辆到电网的操作,我们可以实现100%的可再生能源渗透,同时仍然提供高质量的移动服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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