Optimizing guidance for an active shooter event
Sean Gunn, Peter B. Luh, Xuesong Lu, Brock Hotaling
Abstract
It is unclear what triggers the behavior of active shooters, but their consequences are severe. There is opportunity to implement an automated response system capable of delivery guidance to evacuees' to aide people to safety. Optimizing guidance delivery is challenging because active shooter incidents evolve quickly and are unpredictable. In this paper, we develop a new problem formulation specific for active shooter events by utilizing the structure of each room. To effectively solve this problem, a divide-and-conquer approach is deployed to split evacuees into groups. The egress routes are decomposed and coordinated for each group are optimized using stochastic dynamic programming. Numerical testing and simulation show our solution with a safe room the solution fast relevant to shooting events and effectively.
BibTeX
@inproceedings{icra2017_optimizingguidan,
title = {Optimizing guidance for an active shooter event},
author = {Sean Gunn and Peter B. Luh and Xuesong Lu and Brock Hotaling},
booktitle = {ICRA 2017},
year = {2017}
}