This paper concentrates on the impacts of stochastic driving distance limits on equilibrium
flows of networks serving electric vehicles suffering from “range anxiety” issue derived from …

It is notoriously known that range anxiety is one of the major barriers that hinder a wide
adoption of plug-in electric vehicles, especially battery electric vehicles. Recent studies …

This paper discusses a new traffic assignment problem with stochastic distance constraints,
as an emerging modeling tool for describing traffic networks that serve plug-in electric …

This paper proposes and analyzes a distance-constrained traffic assignment problem with
trip chains embedded in equilibrium network flows. The purpose of studying this problem is …

The adoption of plug-in electric vehicles (PEV) requires research for models and algorithms
tracing the vehicle assignment incorporating PEVs in the transportation network so that the …

ABSTRACT 1 2 This paper is intended to model and evaluate the impacts of electricity-
charging prices on work-related 3 commuting network flows of electric vehicles. A stochastic …

The limited driving ranges, the scarcity of recharging stations and potentially long battery
recharging or swapping time inevitably affect route choices of drivers of battery electric …

A new traffic network equilibrium problem with continuously distributed bounds on path
weights is introduced in this paper, as an emerging modeling tool for evaluating traffic …

Introducing electric vehicles (EVs) into urban transportation network brings higher
requirement on travel time reliability and charging reliability. Specifically, it is believed that …

Freight distribution with electric vehicles (EVs) is a promising alternative to reduce the
carbon footprint associated with city logistics. Algorithms for planning routes for EVs should …