Design and Implementation of an Intelligent Vehicle Tracking and Accident Alert System

Road traffic accidents are still a critical global public health problem, with delayed emergency response that contributes significantly to increased mortality rate. This paper presents the design, implementation, and comprehensive evaluation of a cost-effective vehicle tracking and accident alert system utilizing GPS and GSM technology. The proposed system continuously monitors vehicle location through a NEO-6M GPS module and detects collision events via an MPU6050 accelerometer using a multi-threshold detection algorithm. In the case of accident detection, the system automatically transmits precise location coordinates to predefined emergency contacts through a SIM800L GSM module, which significantly reduces critical alert time. The prototype underwent rigorous testing under different environmental conditions, demonstrating 96% accuracy in accident detection with a 4% false positive rate and an average alert time of 4.8 seconds. Field samples of driving in the real world confirmed reliable operation in urban, suburban and rural areas. This research contributes to intelligent transport systems by providing an accessible, open architecture solution that can significantly improve emergency services and potentially reduce mortality rates, especially in resource -limited environments.