A stochastic reachability approach to emergency building evacuation

Autor:	Sean Summers, John Lygeros, Tony A. Wood
Rok vydání:	2013
Předmět:	Dynamic programming Hazard (logic) Mathematical optimization Stochastic process Computer science Reachability Stochastic optimization Motion planning Optimal control Stochastic programming
Zdroj:	CDC
DOI:	10.1109/cdc.2013.6760791
Popis:	In this paper we introduce a framework for real-time path planning for emergency building evacuation based on the theory of stochastic reachability with random sets. We consider the problem of a single human in a building escaping from a propagating dangerous contamination. We model the human and the hazard as stochastic processes. We formulate the task as a finite horizon stochastic reach-avoid problem in which the objective is to maximise the probability of the human leaving the building while avoiding contact with the hazard within a certain time. We apply dynamic programming to solve the reach-avoid problem and obtain an optimal control policy for the human and a corresponding value for the probability of success. We finally test the results in simulation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::54441ae13b361f5fc10304f7b15ef0ce https://doi.org/10.1109/cdc.2013.6760791 Zobrazit plný text záznamu