SpeedGuard: A Real-Time GPS-Based Overspeed Detection and Driver Alert System Using MobileSensors
Abstract
Overspeeding of vehicles causing road accidents is still a major issue in transportation safety in urban and highway environments. Traditional monitoring systems are often based on manual surveillance, expensive infrastructure, or delayed reporting mechanisms that obstruct preventive real-time action. We propose SpeedGuard, a lightweight, real-time, Global Positioning System (GPS)-based overspeed detection and driver alert system using mobile GPS sensors, accelerometer data, and Pythonbased real-time processing techniques. The SpeedGuard system continuously tracks the speed and location of a vehicle using live sensor data from a mobile device, and instant warning alerts are generated when vehicle speed exceeds pre-defined safety thresholds to enhance driver awareness and transportation safety. This system integrates Flask-based communication, real-time monitoring, acceleration and braking analysis, and dashboard alert visualization. Experimental evaluation demonstrates successful live speed monitoring, overspeed detection, sensor event analysis, and lightweight deployment without expensive hardware infrastructure. The proposed SpeedGuard system offers a portable, low-cost, scalable, and efficient solution for intelligent transportation safety and real-time monitoring applications.