Enhanced accident detection system using safety application for emergency in mobile environment: SafeMe

Abstract

Road accidents claim a huge toll on precious human life all over the world. However, significant amount of lives could be saved if the information regarding the accident could be communicated within critical time. Our paper proposes a formal model of vehicular accident detection through a mobile application which can be run on a smartphone. It aims at detecting a vehicle accident and subsequently notifies a pre-determined list of people so that medical assistance can be provided to the victim as soon as possible. Also details such as location of the victim, intensity of the collision, information about nearby hospitals, ambulance service and police station, are conveyed to a predefined list of recipients. To detect the occurrence of an accident with fair accuracy, the proposed algorithm takes into account the acoustic data, gyrometer sensor inputs, accelerometer data, and the GPS coordinates data—all from the inbuilt smartphone hardware. A weighted average of all these factors is compared against a dynamic threshold. Such a weighted average mechanism significantly reduces false positives.