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Explore how simulation technology can improve emergency evacuation planning at airports, simulating human behavior in crises and enhancing decision-making processes.
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Agent-based Evacuation Modeling:Simulating the Los Angeles International Airport Milind Tambe, Jason Tsai, Matthew E. Taylor, Shira Epstein, Andrew Ogden, Prakhar Garg University of Southern California Gal Kaminka, Natalie Fridman Bar Ilan University Emma Bowring University of the Pacific
Emergency evacuationTraining and policy decisions are difficult • Scenario: Evacuation of an airport terminal after an event • Ideal: Conduct live exercises • Personnel can see what actually happens • Policy-makers can try different rules • Issue: Live exercises are difficult • Requires the terminal to be shut down • Requires realistic response of hundreds of people • Unethical to instill real fear/anxiety in people
Evacuation simulationSimulations provide an answer • Proposal: Simulation replaces live exercises • Evaluate different policies • Decision-making training for officer • Visual conditioning for officers • We propose to build an agent-based model with realistic human behavior and compelling visualization
Our approachWe focus on unaddressed issues unique to the domain • BDI-style architecture • Standard architecture style for agents • Social Comparison Theory mechanics • General theory of how agents impact each other • Transition to emergency • Model the transition from normal to emergency behavior • Massive software visualization • Movie-quality people seen at eye-level
Previous work: TeamcoreWe have worked in simulations in the past • DEFACTO system • Training / coordination tool for fire department incident commanders • Robocup Rescue • Search and rescue simulation • Helicopter team simulations • Helicopter attack strategy simulation
Previous work: Academic Evac. SimulationWealth of work in evacuation simulations • BDI-style architecture • Agent interactivity without underlying social theory • Social Psychology simulations • Apply theories limited to very specific activities • Physics-based simulations • Individual behaviors are generalized • We propose to use a general psychological model that can model both ‘normal’ and ‘emergency’ behavior
Previous work: Architectural planningArchitectural simulations provide a high-level view • Metrics are high-level (e.g., time to clear a building) • Lacks validated realism in individual behavior Legion software
Previous work: CinemaCinema simulations focus on dramatic effect and believability • Metrics involve believability, director’s desires, etc. • Lacks validated realism in individual behavior Massive software
CollaborationsWe have established key collaborations • Los Angeles Airport Police and TSA • First step will be to develop a simulation of Terminal 1 • Massive software • USC School of Cinematic Arts • Cross-institutional team • Expertise in crowd simulation, disaster response simulation, and Social Comparison Theory
Challenges • Computational speed • Hundreds of agents with complex decision mechanisms • Parameters / Calibration • Data for calibration is sensitive information • Techniques for analyzing the data are imperfect • Validation • Scientific validation • Expert user buy-in jasontts@usc.edu http://teamcore.usc.edu