Abstract

Increasing concern for road safety has led to the search for new technological methods to reduce the incidence of traffic accidents. This article describes the design, development, and evaluation of an Android-based incident detection and notifi- cation system that aims to improve emergency response capabili- ties and reduce incident severity. The system leverages ubiquitous smartphones and their built-in sensors by combining accelerom- eters, GPS, and image processing technology to instantly capture and share events. When detected, the system triggers an alarm to notify emergency services and first responders of the incident’s location and important information. The system also has features such as automatic emergency call initiation to provide immediate assistance to victims. The effectiveness of the system has been evaluated through various tests conducted in various simulated accident situations, demonstrating its accuracy, reliability and ability to shorten time in emergency situations. This research contributes to the advancement of smart transportation by using mobile technology to improve road safety and reduce the risk of accidents. Index Terms—Android-based system, accident detection, alert- ing, real-time monitoring, integrated sensor, accelerometer, GPS, imaging, emergency response, machine learning, automatic emer- gency calls, security, smart transportation, ubiquitous computing, smart mobile applications.

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