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Electric Vehicle Routing with Public Charging Stations

机译:电动汽车与公共收费站路由

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We introduce the electric vehicle routing problem with public-private recharging strategy in which vehicles may recharge en route at public charging infrastructure as well as at a privately-owned depot. To hedge against uncertain demand at public charging stations, we design routing policies that anticipate station queue dynamics. We leverage a decomposition to identify good routing policies, including the optimal static policy and fixed-route-based rollout policies that dynamically respond to observed queues. The decomposition also enables us to establish dual bounds, providing a measure of goodness for our routing policies. In computational experiments using real instances from industry, we show the value of our policies to be within 10% of a dual bound. Furthermore, we demonstrate that our policies significantly outperform the industry-standard routing strategy in which vehicle recharging generally occurs at a central depot. Our methods stand to reduce the operating costs associated with electric vehicles, facilitating the transition from internal-combustion engine vehicles.
机译:我们通过公私充电策略介绍电动汽车路由问题,其中车辆可以在公共收费基础设施以及私人拥有的仓库中提供资金。为了对冲公共收费站的不确定需求,我们设计预期站队列动态的路由政策。我们利用分解来识别良好的路由策略,包括动态响应观察队列的最佳静态策略和固定路线的卷展策略。分解也使我们能够建立双界,为我们的路由政策提供衡量标准。在使用业内实际情况的计算实验中,我们展示了我们的政策的价值,占双界的10%。此外,我们证明我们的政策显着优于行业标准路由策略,其中车辆充电通常发生在中央仓库。我们的方法坚持降低与电动汽车相关的运营成本,促进从内燃机车辆的过渡。

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