Traffic assignment and network equilibrium optimization form the theoretical and computational backbone of modern transportation planning, guiding the allocation of travel demand across a network of ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results