DisVis 2.0: Decision Support for Rescue Missions Using Predictive Disaster Simulations with Human-Centric Models

Christian Meurisch, The An Binh Nguyen, Martin Kromm, Andrea Ortiz, Ragnar Mogk, Max Mühlhäuser

Abstract: In disaster situations, the coordination of rescue missions is a difficult task. The person in charge makes decisions under pressure, which could lead to inappropriate instructions to rescuers and could cost many lives. The aim of DisVis 2.0 approach is to release pressure from those responsible by providing decision support using predictive human-centric disaster simulations for infrastructure-less emergency scenarios. More precisely, we enhance existing simulation frameworks only relying on ad-hoc network and mobility models by (1) human-centric models considering cognitive processes and behavior reactions, as well as (2) a novel automated decision support considering real-world sensor data.