This paper examines the interconnections between the power and transportation networks
from a game theoretic perspective. Electric vehicle travelers choose the lowest-cost routes in …

The increasing penetration of electric vehicles (EVs) gradually evolves the urban
transportation network (UTN) and power distribution network (PDN) from being independent …

In traditional traffic equilibrium models, travelers typically rely on link flow information to
estimate link/route costs. However, an often-overlooked aspect in prior research is that …

Static traffic assignment models are still widely applied for strategic transport planning
purposes in spite of the fact that such models produce implausible traffic flows that exceed …

This paper presents two novel algorithmic frameworks to address the logit-based stochastic
user equilibrium traffic assignment problem (SUE-TAP). Following the different variant of the …

This paper proposes a two-stage algorithm to simultaneously estimate origin-destination
(OD) matrix, link choice proportion, and dispersion parameter using partial traffic counts in a …

We consider a network pricing game on a parallel network with congestion effects in which
link owners set tolls for travel so as to maximize profit. A central authority is able to regulate …

This study develops a variational inequality (VI) formulation for the stochastic user
equilibrium with a bounded choice set, known as the bounded choice model (BCM). A novel …

In recent years, many countries have published their timetables to promote electric vehicles.
Many researches have focused on the benefits of electric vehicles. Compared with gas …

In this paper, we study the preferences for uncertain travel times in which probability
distributions may not be fully characterized. In evaluating an uncertain travel time, we …