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Hao-Yu Hu

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#reinforcement learning Jan 2027

Reinforcement Learning-Based Dynamic Merging Optimization for Highway Work Zones Considering Driver Compliance Heterogeneity

This study formulates the dynamic merging optimization problem as a Markov Decision Process (MDP), constructing a comprehensive state space that integrates lane-specific traffic states, vehicle composition, driver compliance heterogeneity, and real-time conflict counts and proves the potential of deep reinforcement lea...

Xing-Xing Cao, Hao-Yu Hu, Zhe-Pu Xu et al. · 0 citations

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