电动汽车混入条件下多方式动态交通分配模型

Multi-modal dynamic traffic assignment model with the addition of electric vehicles

为解析电动汽车混入条件下多方式路网交通状态的判别及动态演化过程,提出一种基于行为分析的多方式动态交通分配模型。基于离散选择理论,构建了不同人群出行选择行为模型;基于点排队模型,动态考虑路网容量、电池剩余电量和充电站服务水平等因素,提出了多方式动态交通分配模型及求解算法;并进行了算例验证。结果表明:电动汽车初始荷电状态(SOC)、充电服务费及充电桩数量等因素均对交通系统产生显著影响。本文提出的公共充电设施容量配置方案可降低用户成本3.61%,降低充电桩购置成本15.86%,减少交通系统CO_(2)排放0.76%,同时提高充电站运营收益14.66%,提高充电站服务水平77.09%。

This paper proposed a multi-modal dynamic traffic assignment model based on travel behavior analysis to distinguish the transportation network status and to analyze the dynamic evolutionary process with the addition of electric vehicles(EVs).Established several travel behavior models for different travel groups based on a discrete choice theory.Proposed a multi-modal dynamic traffic assignment model and a corresponding algorithm based on the point queuing model,considering some factors like the network capacity,the battery surplus,and the charging-station service-level dynamically with doing a numerical example for verification.The results show that the factors,which impact transportation system significantly,include the EV State of Charge(SOC),the charging service fee,and the EV charging-pile number.The proposed scheme for public charging-facility capacity-allocation reduces the users’cost by 3.61%,reduces the EV charging pile acquisition cost by 15.86%,reduces the CO_(2) emission from transportation-system by 0.76%,increases the EV charging station operation income by 14.66%,and increases the level of service by 77.09%.