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.

Markov traffic-assignment models explicitly represent the day-to-day evolving interaction between traffic congestion and drivers' information acquisition and choice processes. Such models can, in ...

Most current system optimum dynamic traffic assignment (SO-DTA) models do not contain first-in-first-out (FIFO) constraints and are limited to single-destination network applications. In this study, ...