In this paper, we investigate an interesting commuting problem for an electric vehicle (EV) corridor in a dense city where en-route charging (including home- and workplace-charging) services are provided, and apply the proposed EV corridor model for charging location optimization and traffic management. Along a transport corridor in a dense city, EV commuters can choose either road paths (with/without en-route charging) or transit path to complete their home-to-workplace travel journeys. We first propose a user equilibrium model for the commuting problem in the EV corridor, by taking into account both departure time and travel path choices. Departure time equilibriums for bottleneck-constrained road paths with and without en-route charging are respectively derived. We also give a condition that ensures all EV users arrive early at the destination for the path with road and charging bottlenecks (serial bottlenecks), and discuss the existence and uniqueness of the user equilibrium solution. Based on the proposed EV corridor model, we further develop a joint optimization model of charging location and road capacity allocation, for two bottleneck-constrained road paths, to manage traffic flows. Numerical experiments are carried out to interpret the EV-corridor commute equilibrium and to validate the joint traffic management strategy in enhancing the travel efficiency of the EV corridor.

在本文中，我们调查了一个人口稠密的城市中电动汽车（EV）走廊的通勤问题，该城市提供路途充电（包括家庭和工作场所充电）服务，并将拟议的EV走廊模型应用于充电位置优化和流量管理。沿着繁华城市的交通走廊，电动通勤者可以选择道路路径（有/无路途收费）或过境路径来完成他们从家到单位的旅行旅程。我们首先考虑到出发时间和行驶路径选择，针对电动汽车走廊的通勤问题提出了一个用户均衡模型。分别得出有和无途收费的瓶颈约束道路的出发时间平衡。我们还给出了确保所有电动汽车用户提早到达道路和充电瓶颈（串行瓶颈）的路径的条件，并讨论了用户均衡解决方案的存在性和唯一性。在提出的电动汽车走廊模型的基础上，我们进一步针对两个瓶颈约束的道路，开发了充电位置和道路容量分配的联合优化模型，以管理交通流量。进行了数值实验，以解释电动汽车走廊通勤的平衡，并验证联合交通管理策略在提高电动汽车走廊的出行效率方面的作用。我们进一步针对两个瓶颈约束的道路开发了收费位置和道路通行能力分配的联合优化模型，以管理交通流量。进行了数值实验，以解释电动汽车走廊通勤的平衡，并验证联合交通管理策略在提高电动汽车走廊的出行效率方面的作用。我们进一步针对两个瓶颈约束的道路开发了收费位置和道路通行能力分配的联合优化模型，以管理交通流量。进行了数值实验，以解释电动汽车走廊通勤的平衡，并验证联合交通管理策略在提高电动汽车走廊的出行效率方面的作用。