2020 Volume 9 Issue 8 Pages 371-376
Recently, various disasters such as terrorism as well as natural disasters have occurred. We have developed the evacuation support system named as Emergency Rescue Evacuation Support System (ERESS) to reduce the victims. This network system consists of mobile terminals, recognizes disasters through various sensors, and presents appropriate evacuation routes. In this paper, we propose a method to recognize disasters immediately and accurately by using Support Vector Machine (SVM) and location information. This method uses two different SVM algorithms that are Buffering and Bagging-SVM to analyze owner behavior and recognize disasters. We show the validity of the proposed method by panic-type experiments and simulations.