Abstract: This research pioneers a ground-breaking system meticulously engineered to swiftly detect vehicular accidents and dispatch immediate alerts to both emergency services and pre-assigned contacts. This symphony of cutting-edge technologies includes an accelerometer sensor attuned to detect acceleration in any vector, a dynamic Liquid-Crystal Display (LCD) display for rapid alert dissemination, an assertive buzzer for resonant alarms, a Global System for Mobile (GSM) module for the swift transmission of distress messages, and pinpoint location data provided by a Global Positioning System (GPS) module. A user-friendly 'cancel' button acts as an escape hatch from potential false alarms. Orchestrated by the dexterity of an Arduino Uno microcontroller, this ensemble orchestrates a harmonious ballet of safety. This solution boasts cost-effectiveness, steadfastness, and unparalleled efficiency. Rigorous testing across diverse scenarios confirms its precision and robustness. By enhancing accident detection accuracy, expediting emergency responses, and facilitating rapid location dissemination, this innovation serves as a vital lifeline, empowering both passengers and rescue services upon accident initiation. With location data as its guiding star, emergency services gain a swift navigational edge, offering a beacon of hope in the battle against accident-related casualties.

Jamil Abedalrahim Jamil Alsayaydeh, Mohd Faizal bin Yusof, Mohamad Amirul Aliff bin Abdillah, Ahmed Jamal Abdullah Al-Gburi, Safarudin Gazali Herawan and Andrii Oliinyk, “Enhancing Vehicle Safety: A Comprehensive Accident Detection and Alert System” International Journal of Advanced Computer Science and Applications(IJACSA), 14(11), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0141104

@article{Alsayaydeh2023,
title = {Enhancing Vehicle Safety: A Comprehensive Accident Detection and Alert System},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0141104},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0141104},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {11},
author = {Jamil Abedalrahim Jamil Alsayaydeh and Mohd Faizal bin Yusof and Mohamad Amirul Aliff bin Abdillah and Ahmed Jamal Abdullah Al-Gburi and Safarudin Gazali Herawan and Andrii Oliinyk}
}