1. SWARMFEST 20071 An Agent-Based Simulation For Emergency Response Management Timothy Schoenharl, R. Ryan McCune, Greg Madey of the University of Notre Dame du Lac This material is based upon work supported by the National Science Foundation under Grant No. CNS-0540348

2. SWARMFEST 20072 Wireless Phone-based Emergency Response System

3. SWARMFEST 20073 Purpose of Simulation Limited knowledge of events by emergency managers Understand crisis development Develop strategy for better response http://www.nyc.gov/html/fdny/gif/photo_unit/fires/122602/122602_157_truck.jpg

4. SWARMFEST 20074 Overview of Simulation Agent-based simulations model behavior of city’s population Simulate normal and crisis behavior Output call activity and agent location on GIS map

5. SWARMFEST 20075 Implementation RePast 3.1 for Java Colt High Performance Scientific Library Geotools OpenMap

6. SWARMFEST 20076 Implementation Pattern Oriented Design Singleton Class

7. SWARMFEST 20077 The Agent Each agent represents pedestrian Randomly assigned initial position inside of Voronoi Cell Call activity based on empirical distributions Movement determined by given scenario

8. SWARMFEST 20078 The Environment Real city created with GIS files Cell phone tower locations Roads, Water, Political Boundaries Voronoi cells built around cell phone towers

9. SWARMFEST 20079 Simulation Scenarios Simulate Regular behavior Move and return Location and call activity based on empirical data Crisis behavior Flee – Run from a point Bounded Flee – Run a distance from a point

10. SWARMFEST 200710 Validation Movement Model Face Value Call Activity Empirical vs. Simulated results plotted Kolmogorov-Smirnov test

11. SWARMFEST 200711 Validation cont.

12. SWARMFEST 200712 Interface RePast GUI OpenMap Display Voronoi cell color changes with agent containment Call Activity Graph

13. SWARMFEST 200713 Screenshot of Repast GUI

14. SWARMFEST 200714 Runtime Performance Runtime vs. Graphical Output 500 Agents Move and Return Model Distribution-Based Calling Activity GIS Agent Location SnapshotTime (s) No 240 YesNo 354 Yes No363 Yes 35200

15. SWARMFEST 200715 Runtime Performance Runtime vs. Number of Agents Linear Scaling demonstrates excellent runtime characteristics

16. SWARMFEST 200716 Summary Agent-based model to simulate crisis behavior Movement dependent on behavior model and outputted to GIS map Calling Activity based on empirical data Designed for WIPER System

17. SWARMFEST 200717 Future Work Implement more crisis scenarios Study of aggregate patterns More realistic agent paths Road and Highway use Vary Speed Traffic Jam Scenarios Water Social network structure

18. SWARMFEST 200718 Questions?