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, ...

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.