This paper is published in Volume-5, Issue-2, 2019
Area
Computer Science
Author
Diksha Kewat, Vaishnavi Tonpe, Kiran Baxani, Dr. Sanjay Sharma
Org/Univ
New Horizon Institute of Technology and Management, Thane, Maharashtra, India
Keywords
Geofencing, KNN, Disaster management, Google API
Citations
IEEE
Diksha Kewat, Vaishnavi Tonpe, Kiran Baxani, Dr. Sanjay Sharma. Geofencing for disaster information system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Diksha Kewat, Vaishnavi Tonpe, Kiran Baxani, Dr. Sanjay Sharma (2019). Geofencing for disaster information system. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.
MLA
Diksha Kewat, Vaishnavi Tonpe, Kiran Baxani, Dr. Sanjay Sharma. "Geofencing for disaster information system." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.
Diksha Kewat, Vaishnavi Tonpe, Kiran Baxani, Dr. Sanjay Sharma. Geofencing for disaster information system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Diksha Kewat, Vaishnavi Tonpe, Kiran Baxani, Dr. Sanjay Sharma (2019). Geofencing for disaster information system. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.
MLA
Diksha Kewat, Vaishnavi Tonpe, Kiran Baxani, Dr. Sanjay Sharma. "Geofencing for disaster information system." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.
Abstract
Due to the lack of effective and coordinated disaster management system which consists of the stages like disaster mitigation, preparedness, response, and recovery has led to both the increase in the loss of both life and property. The paper proposes an effective disaster information system which uses the geofencing technique so as to detect the movement of users. This technique creates a geofence around the user and thus monitors the user’s entry and exit from the fence. This model uses a K-Nearest Neighbour (KNN) algorithm along with real-time data collected from smartphones. For crowd disaster mitigation and real-time alert to avoid an occurrence of a stampede, this android application is an easily deployable context-awareness mobile Android Application Package. The application provides high accuracy when the user is in the fence.