An approach for the optimal planning of electric vehicle infrastructure for highway corridors

• We present methods for optimally locating electric vehicle infrastructure in highway corridors.
• The methods utilize a continuous facility location model.
• An example application for the Texas Triangle mega-region is presented.
• A discussion on demand uncertainty and implementation considerations is provided.
• The methods can be used to locate infrastructure during the expansion of the electric vehicle market.

An approach is presented for the estimation of minimum PEV charging infrastructure needs, and the optimization of infrastructure deployment for highway corridors. We utilize continuous facility location models, which is distinguished from previous research that uses graph theory methods. We aim to obtain the optimal locations of publicly-funded infrastructure, to complement infrastructure provided by private industry, while carefully dealing with demand uncertainty. A case study is presented for highway corridors in the Texas Triangle megaregion. A discussion is provided on demand uncertainty and implementation considerations as well.