This paper develops a mathematical approach to optimize a time-dependent deployment
plan of autonomous vehicle (AV) lanes on a transportation network with heterogeneous …

Compared to existing human-driven vehicles (HDVs), connected and autonomous vehicles
(CAVs) offer users the potential for reduced value of time, enhanced quality of travel …

Autonomous vehicles (AVs) may significantly change traveler behavior and network
congestion. Empty repositioning trips allow travelers to avoid parking fees or share the …

Modelling the combined mode split and traffic assignment (CMSTA) problem is essential to
capture the travelers' behaviors and predict the flow distribution in multimodal transportation …

Before having a massive deployment of fully connected and autonomous vehicles (CAVs),
CAVs with different automation levels and human-driven vehicles (HVs) will coexist on roads …

This study reviews existing computational methods to calculate simulation‐based dynamic
network equilibrium. We consider a trip‐based multimodal approach for the dynamic …

This paper investigates the effects of social interaction information from friends on
commuters' daily route choice decisions. Besides the actual route travel time shared among …

This paper presents a continuous time surplus maximization bi-objective user equilibrium (C-
TSmaxBUE) model, in which the users' variability toward the time and toll trade-off in a tolled …

This paper develops a game-theoretical model of port competition for the intermodal network
design and pricing strategy problem. In the model, port operators determine the dry port …

Routing controllability of connected and autonomous vehicles (CAVs) has been shown to
reduce the adverse effects of selfish routing on the network efficiency. However, the …