论文标题
在随机网络中的电动汽车路线，该网络具有非循环事件
Routing of Electric Vehicles in a Stochastic Network with Non-recurrent Incidents
论文作者
论文摘要
本文提出了一种用于映射电动汽车EV驾驶员的旅行时间限制和冒险行为以实时路由在概率依赖时间或随机网络中实时路由。提出的方法基于一种启发式算法，该算法根据驾驶员的偏好找到最短的路径。在途径延迟和替代路线上进行核算，随机网络中的EV路由问题显示出除了第一个FIFO属性中的第一个外展示外，即较早出发的人的旅行时间可能很早就可能很快出发或在充电站中待在路线上。拟议的方法为EV驱动程序提供了管理旅行和准时到达目的地的选项，而通过利用交通网络的非FIFO特征，可以在途中收取汽车。提出的路由算法在给定的随机运输网络上测试。在考虑到收费站或途中最佳规划的延迟时，确定了基于驾驶员的首选项的最佳路线。
An approach for mapping an electric vehicle EV driver s travel time constraints and risk taking behavior to real time routing in a probabilistic time-dependent or stochastic network is proposed in this paper. The proposed approach is based on a heuristic algorithm that finds the shortest path according to the driver s preferences. Accounting for en route delays and alternate routes, the EV routing problem in stochastic networks is shown to exhibit other than the First In First Out FIFO property i.e. the traveling time for those who depart earlier may not sooner of those who depart later or wait en route in the charging stations. The proposed approach provides EV drivers the option to manage their trip and reach the destination on time, while by taking advantage of the non FIFO characteristics of the traffic network, charge their cars en route. The proposed routing algorithm is tested on a given stochastic transportation network. The best routes based on the driver s preferences are identified while accounting for the best-planned delays at the charging stations or en-route.
