Citation

Agrawal SK, Boyles SD, Jiang N, Shahabi M, Unnikrishnan A. Transp. Res. Rec. 2015; 2498: 75-83.

Copyright

(Copyright © 2015, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)

DOI

10.3141/2498-09

PMID

unavailable

Abstract

Research on the range anxiety of battery electric vehicle (BEV) drivers is limited, and research on the route choice of such drivers has been restricted to a fixed range limit modeled as a distance constrained shortest path problem. In this paper, a more general network route choice model based on the range anxiety of BEV drivers is formulated as a nonadditive shortest path problem. More appropriate for BEVs, a tour-based analysis with a continuum of range limits is considered, and an outer approximation algorithm has been used to find the optimal path. Numerical experiments on a small network demonstrate how the routes taken by BEV drivers are influenced by their risk attitudes and uncertainty in the predicted range of the vehicle.