Intelligent Automotive Diagnostics and Driver Safety Enhancement System Utilizing CAN Bus Protocol and Integrated Sensor Analytics

The growing number of road accidents and vehicle failures emphasizes the necessity of a sophisticated vehicle safety and maintenance system. Most car owners ignore regular maintenance, resulting in undetected mechanical faults, and unscrupulous mechanics can take advantage of them with unnecessary work. Moreover, drunk driving is a major safety issue with insufficient prevention systems. This piece of work advocates for an elaborate vehicle diagnostic system that is interconnected with the CAN (Controller Area Network) bus protocol to alleviate these issues. The system features CNM (Centralized Network Management) and D-CNM (Decentralized Network Management) logic to detect faults in real-time while maintaining vehicle wellness and minimizing reliance on mechanics. Driver monitoring sensors identify abnormal conduct, warning against drunk or dozy driving. The system is also integrated with accident prevention means through adaptive safety features. Innovative features are automated fault isolation, predictive maintenance, and real-time error handling. The major components are ESP8266 UNO, MCP2515, LM35, and physiological sensors, which together improve vehicle reliability, lower maintenance costs, and enhance road safety.