ABSTRACT

The environmental traffic assignment problem in the bimodal network with electric vehicles (EVs) and gasoline vehicles (GVs) has become a hot topic recently. However, few previous works consider the psychological difference between EV users and GV users in terms of environmental awareness , in order to fill in this research gap, we formulate an environment-oriented mixed-behavior user equilibrium (EMUE) model to distinguish the route choice criterion between EV users and GV users by considering the Pro-environmental behavior (PEB) of EV users. . We formulate a bi-objective optimization model and propose a differentiable road pricing scheme for EV and GV users to manage the congestion and emissions simultaneously. We investigate whether the differentiable road pricing can decentralize the Pareto-efficient flow as a unique mixed-behavior equilibrium. Moreover, we conduct numerical experiments based on the Sioux Falls network and the existing urban network in Qianhai Zone to evaluate the effectiveness of the proposed pricing scheme, models and algorithms.

摘要

电动汽车（EVs）和汽油车（GVs）双峰网络中的环境交通分配问题最近成为热门话题。然而，以往的工作很少考虑EV用户和GV用户在环境意识方面的心理差异，为了填补这一研究空白，我们制定了一个面向环境的混合行为用户均衡（EMUE）模型来区分路线选择通过考虑 EV 用户的环保行为 (PEB) 来区分 EV 用户和 GV 用户。. 我们制定了一个双目标优化模型，并为 EV 和 GV 用户提出了一个可区分的道路定价方案，以同时管理拥堵和排放。我们研究了可区分的道路定价是否可以将帕累托有效流量分散为独特的混合行为均衡。