Reinforcement learning (RL) has emerged as a transformative approach to managing urban intersections through adaptive, data-driven decision-making. By modelling each traffic signal controller as an ...
Urban-scale traffic control faces significant challenges due to the limited availability of large-scale and high-resolution datasets to support traffic control strategies across various network ...
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