Joint infrastructure planning and fleet management for one-way electric car sharing under time-varying uncertain demand
Joint infrastructure planning and fleet management for one-way electric car sharing under time-varying uncertain demand
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DOI：
10.1016/j.trb.2019.07.005
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发表时间：
2019-10-01
影响因子：
6.8
通讯作者：
Li, Xiaopeng
中科院分区：
文献类型：
--
作者：
Hua, Yikang;Zhao, Dongfang;Li, Xiaopeng
我们提出了一种创新框架来部署服务于城市地区的单向电动汽车（EV）共享系统。首次在时变的不确定需求下联合优化长期基础设施规划（充电站位置和车队分布）和实时车队运营（搬迁和充电决策）。这大大提高了电动汽车共享系统的效率并产生了实用的管理策略。我们提出了一种多阶段随机模型来解决时变不确定需求的关键挑战。开发了一种加速求解算法来克服整数基础设施规划决策中的维数灾难。通过假设的数值实验和纽约市电动汽车共享服务的现实案例研究，提供了有意义的见解。 (C) 2019 Elsevier Ltd. 保留所有权利。
We propose an innovative framework to deploy a one-way Electric Vehicle (EV) sharing system that serves an urban area. For the first time, long-term infrastructure planning (charging station location and fleet distribution) and real-time fleet operations (relocation and charging decisions) are jointly optimized under time-varying uncertain demand. This substantially advances EV sharing system efficiency and yields a practical management strategy. We propose a multistage stochastic model to address the critical challenge of time-varying uncertain demand. An accelerated solution algorithm is developed to conquer the curse of dimensionality in integer infrastructure planning decisions. Meaningful insights are delivered through hypothetical numerical experiments and a realistic case study with EV sharing service in the New York City. (C) 2019 Elsevier Ltd. All rights reserved.