Cellular Automata Based Evacuation Process Triggered by Indoors Wi-Fi and GPS Established Detection

Abstract

This study presents the principles of an application that is designed to facilitate customized evacuation from indoor spaces. The proposed approach combines in-doors detection using existing wireless networks based on trilateration technique and proper evacuation estimation based on cellular automata (CA). An efficient application has been developed that can be installed in smartphones under Android operation system and technically fulfills the scopes of the aforementioned evacuation model. More specifically, it offers the user the option to view her/his location at any time and to find the closest possible route to an exit in case of an emergency. The efficiency of the application to provide reliable guidance towards an exit is also evaluated. Preliminary results are reasonably encouraging; provided that the application is properly customized then a reliable, real-time evacuation guidance could be realized.