Modular System Approach for Enhancing Cyclist Safety

Cycling in groups offers physical and social benefits but also brings safety risks such as collisions, rider separation, potholes, and undetected falls. This paper presents a modular, real-time cyclist safety system that integrates collision avoidance, proximity monitoring, pothole detection, and fall detection using low-cost microcontrollers. The system employs ultrasonic sensors, inertial measurement units, Wi-Fi communication, and an onboard camera with an embedded machine-learning model. Structured indoor and outdoor testing showed that the system reliably detected safety-critical events with acceptable accuracy and latency. These results demonstrate the potential for an affordable, scalable solution to enhance safety in recreational and group cycling.