The Real-Time Intelligent IoT Route Monitoring System Using AI and UART-Based Communication Interface
DOI:
https://doi.org/10.26821/IJSHRE.14.04.2026.140402Keywords:
Route Deviation Detection, ESP32, Decision Tree, Vehicle Tracking, IoT, Real-Time Monitoring, AI-Based Transportation SystemAbstract
The safety and efficiency of transportation systems rely heavily on vehicles following their designated routes. Unauthorized route deviations can result in safety risks, increased fuel usage, delivery delays, and the need for manual monitoring. This paper proposes a real-time intelligent IoT-based route monitoring system that combines Artificial Intelligence (AI), embedded hardware, and a UART-based communication interface.
The system is built around an ESP32 microcontroller integrated with a GPS module to continuously collect real-time location data. A Decision Tree machine learning algorithm is applied to evaluate vehicle movement by comparing live coordinates with predefined routes, allowing precise identification of deviations. When a deviation is detected, alert notifications are generated and transmitted via the UART interface to a control unit for immediate response.
By integrating AI-based analysis with efficient IoT communication, the proposed system improves transportation monitoring, reduces false alerts, enables faster response, and offers a scalable, cost-effective solution.
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