SAFE-CA: A Synchronous Agent-Flood Engine for Digital Stress-Testing Urban Evacuations
Learn how a dynamic Digital Shadow framework can predict fatal crowd crushes before the flood even hits.
Join us to explore how transitioning from static maps to synchronous simulations empowers urban planners to identify hidden infrastructural bottlenecks during extreme weather evacuations!
Emerging as a critical vulnerability during catastrophic typhoons, poorly planned street geometry often traps pedestrian evacuees when vehicular traffic is paralyzed. Moreover, current urban planning tools rely heavily on static hazard maps, completely overlooking the dynamic interactions between panicked crowds and rising water. In this webinar, we present SAFE-CA, a unified Digital Shadow framework designed to stress-test urban road networks. By unifying real-world geospatial data (OSMnx and Rasterio) with a predictive synchronous physics engine (combining Cellular Automata for flood propagation, Dijkstra's algorithm for pathfinding, and the Social Force Model for crowd friction), our framework dynamically processes environmental threats into actionable infrastructure metrics.
Using localized case studies directly comparing the flat grids of Dagupan City with the mountainous topography of Baguio City, our framework demonstrates how the "Synchronous Dual-Penalty Equation" accurately captures the compounding dangers of hydrodynamic drag and crowd density. This enables city engineers to stop guessing and start mathematically justifying life-saving structural interventions before disaster strikes.
𝐒𝐩𝐞𝐚𝐤𝐞𝐫𝐬: Ian Motal, Erl Lawrence, and Tom Lumibao
📅 June 11, 2026
⏰ 7:00 PM - 8:00PM
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