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AlertRide: Accident Detection and Response

Omkar Vreglum, Prajal Patil, Vaibhav Gite Prof.P.S.Hanwate
Ajeenkya D Y Patil University Lohegoan Pune Maharashtra, India

ABSTRACT
The escalating frequency of road accidents, particularly those involving two-wheelers, has become a critical concern, often resulting in fatal outcomes exacerbated by delayed medical assistance. This paper presents AlertRide, a comprehensive system designed to swiftly detect and report two-wheeler accidents, thereby reducing response time and improving the chances of timely medical intervention. AlertRide integrates advanced technologies like GPS, GSM, and Accelerometer, along with a dedicated Android application, to enhance the effectiveness of accident detection and notification. Most of car crash is due to careless driving that causes enoromous economic and social loss, as well as injuries and fatalities. As a result of which the research of precise impact and accident detection systems is very significant issues in management of automotive and user safety.Several crash detection algorithms are developed, but the coverage of these algorithms are not appliable to few scenarios. Road scenes and situations need to be considered in order to expand the scope of a collision detection system to include a variety of collision modes. The proposed algorithm effectively takes into consideration all the x, y, and z axes of the sensor, while involving time and predicts a method suitable for various real life problem. To reduce nuisance and false crash detection events, the algorithm categorises between driving mode and parking mode. The performance of the algorithm based on various possible scenarios is the required neccesity of the model

Keywords: Accident detection, alert system, GPS, GSM, Accelerometer, Android application.