Perfect rationality (PR) has been widely used in modeling travel behavior. As opposed to
PR, bounded rationality (BR) has recently regained researchers' attention since it was first …

This paper discusses the development of an agent-based modeling software development
kit, and the implementation and validation of a model using it that integrates dynamic …

The goal of a network design problem (NDP) is to make optimal decisions to achieve a
certain objective such as minimizing total travel time or maximizing tolls collected in the …

The paper focuses on Network Traffic Control based on aggregate traffic flow variables,
aiming at signal settings which are consistent with within-day traffic flow dynamics. The …

This article shows how Gradient Projection (GP) algorithms are capable of solving with high
precision a Dynamic User Equilibrium (UE) model based on Splitting Rates, ie turning …

The advancement of information and communication technology allows the use of more
sophisticated information provision strategies for real-time congested traffic management in …

This paper presents a gap-based solution method for the time-dependent transit assignment
problem with vehicle capacity constraints. A two-level, simulation-based methodology is …

In this article, we propose a framework for travel time prediction based on a time-discrete,
mesoscopic traffic flow model, in which the measure of travel time is obtained as a link …

Applications of dynamic network equilibrium models have, mostly, considered the unit of
traffic demand either as one-way trip, or as multiple independent trips. However, individuals' …

This paper introduces an integrated mode choice–multimodal transit assignment model and
solution procedure intended for large-scale urban applications. The cross-nested logit mode …