The increasing demand for fuel efficiency and environmentally responsible driving has led to the development of intelligent vehicle monitoring systems. This project presents the design and implementation of a Controller Area Network (CAN) based eco-driving monitoring system with real-time fuel consumption measurement. The proposed system simulates vehicle operating conditions using embedded hardware and sensor-based data acquisition. A potentiometer is employed to emulate accelerator pedal input, while a hall effect sensor is used to estimate vehicle speed through rotational pulse detection. To achieve real-time fuel measurement, a water-based fuel emulation mechanism is implemented, where a controlled DC pump represents engine fuel demand and a flow sensor measures water consumption equivalent to fuel usage. The acquired parameters are processed using STM32 microcontrollers and transmitted between nodes via CAN bus communication, replicating modern automotive electronic control unit (ECU) networking. The received data is displayed on a software dashboard that provides real-time visualization of speed, throttle position, fuel flow rate, total fuel consumed, and driving behavior classification. The system demonstrates how embedded communication and physical consumption measurement can be integrated to analyze driver efficiency and promote eco-driving practices. The developed prototype serves as a scalable model for intelligent vehicle monitoring and energy-efficient transportation systems.

Keywords: CANBus, Eco-driving, Fuel efficiency, Driver behavior, Real-time feedback