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• IP0215 - A Reinforcement Learning Framework for Optimizing Winter Road Maintenance Using Deep Q-Networks
  Zhen (Leo) LIU , Amir GOLALIPOUR , Mohammad Hossein TAVAKOLI DASTJERDI
  Individual paper (pdf - 525KB)

  Winter Road Maintenance (WRM) plays a crucial role in ensuring public safety, minimizing economic disruptions, and reducing environmental impact. Traditional WRM approaches rely on predefined rule-based protocols and human judgment, often resulting in inefficiencies due to subjective decision-making and the inability to adapt to dynamic weather conditions. This study introduces a Deep Reinforcement [...]