01630162

Component

Using new alternative fuels for motorized transportation vehicles has become more and more popular with the growing concerns on the limitation of fossil fuels and environmental degradation. However several barriers have adversely impacted the widespread adoption of these vehicles. Providing adequate number of charging stations and planning the layout of their infrastructure will help overcome some of the existing challenges. In this paper, a two-stage stochastic optimization model is developed for locating charging stations for electric vehicles in parking facilities located in urban areas which accounts for demand uncertainty in the future. The proposed model has the objective of minimizing the users’ deviation cost from their original destinations in order to park their vehicles in the parking facilities that have chargers, given that the authors have restriction on the maximum number of chargers the authors can deploy in each parking and also the budget limitation. Two types of chargers are considered to be deployed and the model gives us the best combination. The result of modelling shows the importance of making decisions for locating charging facilities at several stages.

This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.

01618707

17-06243

English

20p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Electric vehicle charging; Location; Network analysis (Planning); Parking facilities; Plug-in hybrid vehicles; Programming (Mathematics); Stochastic programming; Urban areas

Highways; Planning and Forecasting

Transportation Research Board Annual Meeting 2017 Paper #17-06243

TRIS, TRB, ATRI

Dec 8 2016 12:32PM