Citation

Guo F, Yang J, Lu J. Transp. Res. E Logist. Transp. Rev. 2018; 114: 1-18.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.tre.2018.03.014

PMID

unavailable

Abstract

Key to the mass adoption of electric vehicles (EV) is establishing a sufficient recharging infrastructure network, based on customer behavior and psychology. This study examines the battery charging station location problem, considering users' range anxiety and distance deviations, two major barriers to the mass adoption of EV. The problem is formulated as a bi-level integer programming model based on a range anxiety function. Then, the problem is solved using an adaptive large-neighborhood search, combined with a k-shortest path algorithm and an iterative greedy heuristic. Finally, the effects of parameters are analyzed in the context of a real-world road network.

Language: en

Keywords

Battery charging station; Distance deviation; Electric vehicles; Location model; Range anxiety