Electric Vehicle Routing with Public Charging Stations

被引:34
|
作者
Kullman, Nicholas D. [1 ]
Goodson, Justin C. [2 ]
Mendoza, Jorge E. [3 ,4 ]
机构
[1] Univ Tours, CNRS, LIFAT EA 6300, ROOT ERL CNRS 7002, F-37200 Tours, France
[2] St Louis Univ, Richard A Chaifetz Sch Business, St Louis, MO 63103 USA
[3] HEC Montreal, Montreal, PQ H3T 2A7, Canada
[4] Ctr Interuniv Rech Reseaux Entreprise Logist & Tr, Montreal, PQ H3T 1J4, Canada
关键词
dynamic vehicle routing; electric vehicles; fixed routes; information relaxation; information penalties; approximate dynamic programming;
D O I
10.1287/trsc.2020.1018
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
收藏
页码:637 / 659
页数:23
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