Kuo Yu

Dynamic driver behavior modeling with GMM for sustainable traffic signal control in deep reinforcement learning

Adaptive traffic signal control is crucial for improving urban mobility and supporting environmental sustainability. Driver behavior heterogeneity has a significant impact on intersection performance, but its effective integration into reinforcement learning models remains challenging. This study proposes HARLight, a s...