Dynamic traffic assignment (DTA) models are integral to modern transportation research, offering frameworks to predict and optimise the flow of vehicles over time within complex networks.

Then the backward arcs were eliminated by using linear programming. By allowing backward time, our formulation has a similar level of flexibility as the fleet assignment model with time-window (FAMTW) ...

In this paper, we propose a flight sequence assignment model (FSAM) that selects an optimal set of flight sequences to minimize the total penalty cost. We develop a column generation framework with a ...

Traffic assignment models form the backbone of transportation network analysis by determining how travel demand is distributed across a network. Central to these models is the principle of user ...