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. These models ...

Dynamic traffic flow and route choice modelling represent a vibrant research area that examines how travellers adjust their selected paths over time amid complex transport networks. By integrating ...

This paper presents the development of a macroscopic dynamic traffic assignment model for continuum transportation systems with elastic demand. A reactive dynamic user equilibrium model is extended to ...

The MARL-OD-DA framework redesigns multi-agent reinforcement learning by using OD-pair–level agents and Dirichlet-based continuous routing actions, enabling scalable and stable traffic assignment in ...