Dynamic Traffic Assignment (DTA) encompasses a class of models designed to represent and predict time‐dependent traffic flows in road networks, capturing the evolution of congestion, queue formation ...

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 ...

Traffic assignment modelling and route choice analysis investigate how travellers select paths through a transportation network and how these decisions affect overall network performance. Central to ...