The Design and Empirical Analysis of Smart Tire Monitoring System using Cloud and Docker Container Technology

Modern vehicles rely on Tire Pressure Monitoring Systems (TPMS) to improve safety and enhance the driving experience by monitoring tire pressure and temperature. Traditionally, TPMS systems rely on specialized hardware to collect and transmit data to the vehicle’s onboard computer, making this information accessible solely to the driver. This study proposes an enhanced TPMS that leverages Cloud and Docker Container technologies. The Message Queuing Telemetry Transport (MQTT) protocol enables efficient communication between a cloud server and a central controller. At the same time, Docker containers support streamlined application integration and deployment. Findings indicate optimal standard deviations for tire pressure at 1.8 during the day and 1.2 at night, with temperature deviations at 1.54 during the day and 1.23 at night, showing minimal fluctuation. This setup supports real-time, remote monitoring of tire data, accessible through a smartphone interface. This system offers significant practical benefits, including improved driver awareness and preventive maintenance capabilities. However, potential challenges such as data security, system reliability, and integration with existing vehicle infrastructure warrant further investigation to ensure widespread adoption and effectiveness.