Modern vehicular systems increasingly rely on automation and intelligent monitoring to enhance safety, reduce human error, and ensure rapid emergency response. Conventional accident detection mechanisms depend on manual reporting, resulting in delayed assistance and increased fatalities. This research presents a Control Area Network (CAN)–based vehicle automation and accident alert system that integrates sensors, microcontrollers, and communication modules to detect collisions, monitor vehicle parameters, and automatically transmit emergency notifications. The system utilizes accelerometers, vibration sensors, and onboard diagnostics to detect abnormalities, while CAN provides reliable, high-speed, fault-tolerant communication within the vehicle. Upon detecting an accident, the system triggers automatic alerts containing vehicle ID, GPS location, and status information to emergency contacts or authorities. Additionally, automation features such as speed monitoring, obstacle detection, and automatic braking enhance driver safety. The integration of CAN ensures robustness, low latency, and reduced wiring complexity. The proposed system offers a cost-effective, scalable solution for intelligent transportation systems and next-generation automotive safety design.
IJESAT (Tue,) studied this question.