Stochastic user equilibrium assignment model for electric vehicle under hybrid traffic condition

被引：0

作者：

Yang, Yang ^{[1
,2
]}

Yao, En-Jian ^{[1
,2
]}

Wang, Mei-Ying ^{[1
]}

Pan, Long ^{[1
]}

机构：

[1] MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing,100044, China

[2] School of Traffic and Transportation, Beijing Jiaotong University, Beijing,100044, China

来源：

Zhongguo Gonglu Xuebao/China Journal of Highway and Transport | 2015年 / 28卷 / 09期

关键词：

Cost functions - Stochastic models - Travel time - Energy utilization - Variational techniques - Traffic control;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

To analyze the effect of electric vehicles (EVs) on traffic network, considering influence factors, travel time, energy consumption and charging service time, the generalized travel cost function for EV was presented. A variational inequality (VI) model equivalent to equilibrium condition was proposed after analyzing traffic network equilibrium condition under hybrid traffic flow with EV. The existence and uniqueness of model solution were discussed. A solution algorithm for solving the proposed model was designed and numerical example was constructed to verify the validity of model and algorithm. The results show that the proposed model and algorithm are effective and feasible. The construction of charging infrastructures should be planned based on EV penetration rate in the near future, meanwhile, the traffic status and the load of electricity grid should be considered comprehensively in the long-term planning of traffic charging station. In such way can stability of traffic network running state be ensured. ©, 2015, Xi'an Highway University. All right reserved.

引用

页码：91 / 97