Simulation Model in Real-Time Application for Emergency Response Management System using Genetic Algorithm

Abstract

Emergency and communication are critical issues requiring first responders to arrive in the incident area in the shortest amount of time as possible. In times of crisis, our residents expect that they will be able to seek assistance from those in authority; Philippine National Police (PNP), nearby hospitals, ambulances, and other nearest disaster responders around Brgy. 116, Tondo, Manila. The traditional method of requesting assistance is by dialing 911 on our phones. This process has several drawbacks, including the lack of a defined place to seek assistance. In this study, the researchers developed a mobile application to help the response team to manage an emergency in real-time and to guide the resident to act smart according to a life-or-death situation for different types of incidents such as car accidents, and street fights, or any kind of violence. The study was about a Genetic Algorithm or GA, a search-based optimization technique based on genetics and natural selection principles. This is a method of improved locating an incident over the internet, particularly when supplying specifics including the location of the emergency, images, and videos to verify the seriousness of the situation. The system is implemented in the android mobile application. Additionally, the researchers collected data to test the accuracy and efficacy of the application. The results showed that enhanced locating an incident is more reliable with the use of gathered information from the actual incident and more suitable for emergencies.