Abstract: Traffic congestion poses significant challenges for cities around the world, affecting travel efficiency, environmental sustainability, and economic productivity. This paper presents an ...
Abstract: Modern urban traffic systems face significant challenges in handling congestion and emergency vehicle prioritization, often with the consequence of long response times and a disorderly ...
A comprehensive hierarchical multi-agent reinforcement learning system for optimizing city-wide traffic signal control. This project combines cutting-edge deep RL techniques with practical traffic ...
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