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Deep Reinforcement Learning-Based Project Prioritization For Rapid Post-Disaster Recovery Of Transportation Infrastructure Systems, Yongcheol Lee, Kunhee Choi Ph.D, Pedram Ghannad
Deep Reinforcement Learning-Based Project Prioritization For Rapid Post-Disaster Recovery Of Transportation Infrastructure Systems, Yongcheol Lee, Kunhee Choi Ph.D, Pedram Ghannad
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Among various natural hazards that threaten transportation infrastructure, flooding represents a major hazard in Region 6's states to roadways as it challenges their design, operation, efficiency, and safety. The catastrophic flooding disaster event generally leads to massive obstruction of traffic, direct damage to highway/bridge structures/pavement, and indirect damages to economic activities and regional communities that may cause loss of many lives. After disasters strike, reconstruction and maintenance of an enormous number of damaged transportation infrastructure systems require each DOT to take extremely expensive and long-term processes. In addition, planning and organizing post-disaster reconstruction and maintenance projects of transportation infrastructures are …