17:15 〜 19:15
[SCG49-P06] A Game-Engine Based Multi-Agent Earthquake Hazard Scenario Reconstruction and Risk Mitigation System
キーワード:multi-agent, digital-twin, hazard mitigation, game engine
Earthquakes pose significant risks to urban infrastructure and human safety, necessitating advanced tools for hazard scenario reconstruction and risk mitigation. Traditional earthquake simulation models often lack real-time interactivity and dynamic adaptability, limiting their effectiveness in emergency response planning. To address this, we propose a game-engine-based multi-agent system for earthquake hazard scenario reconstruction and risk mitigation.
Our system leverages physics-based earthquake simulations integrated with game engine technology to create immersive, real-time disaster scenarios. The multi-agent framework models human behavior, infrastructure response, and environmental interactions during seismic events, enabling realistic and dynamic hazard reconstructions. As a case study, we use an ensemble of virtual earthquakes that occurred near Beijing to evaluate the system’s performance. These simulations replicate a range of seismic intensities and rupture scenarios, allowing us to analyze potential infrastructure damage, evacuation dynamics, and emergency response effectiveness. The results demonstrate the platform’s capability to visualize complex hazard scenarios, predict potential casualties and damages, and evaluate different mitigation strategies. The interactive nature of the system allows emergency planners and policymakers to test response protocols, optimize evacuation plans, and enhance community resilience.
Our system leverages physics-based earthquake simulations integrated with game engine technology to create immersive, real-time disaster scenarios. The multi-agent framework models human behavior, infrastructure response, and environmental interactions during seismic events, enabling realistic and dynamic hazard reconstructions. As a case study, we use an ensemble of virtual earthquakes that occurred near Beijing to evaluate the system’s performance. These simulations replicate a range of seismic intensities and rupture scenarios, allowing us to analyze potential infrastructure damage, evacuation dynamics, and emergency response effectiveness. The results demonstrate the platform’s capability to visualize complex hazard scenarios, predict potential casualties and damages, and evaluate different mitigation strategies. The interactive nature of the system allows emergency planners and policymakers to test response protocols, optimize evacuation plans, and enhance community resilience.