IoT-Based Smart School Bus and Student Monitoring Systems

Abstract

Student transportation safety is a critical concern for educational institutions, parents, and government authorities. Conventional school bus systems rely on manual attendance recording, fixed schedules, and verbal communication, which often leads to inefficiencies, delays, and safety risks. With the rapid advancement of Internet of Things (IoT) technology, smart transportation systems have emerged as reliable solutions for real-time monitoring and automated data management. This review paper presents a comprehensive analysis of IoT-based smart school bus and student monitoring systems, with a primary focus on the base research paper titled “IoT Based Smart School Bus and Student Monitoring System.” The study reviews earlier approaches based on RFID, GPS, GSM, and IoT architectures, highlighting their advantages and limitations. The paper further explains the working principles, components, and benefits of the proposed IoT-based system using ESP32 microcontroller, GPS module, RFID reader, Real-Time Clock (RTC), LCD display, and cloud integration through Google Sheets. The review emphasizes improvements in safety, attendance accuracy, communication, and data transparency. The findings suggest that IoT-based school transportation systems offer scalable, cost-effective, and future-ready solutions for modern educational environments.

Introduction

School transportation is critical for student safety, yet traditional systems relying on manual attendance and fixed schedules are inefficient and prone to errors. Parents often face uncertainty about bus arrival times, and schools lack centralized, real-time access to attendance and location data.

The proposed solution is an IoT-based smart school bus and student monitoring system that integrates ESP32 microcontroller, GPS, RFID, RTC, LCD display, and cloud storage (Google Sheets). Key features include:

• Real-time bus tracking using GPS for accurate location and estimated arrival times.

• Automated student attendance with RFID cards, timestamped via RTC.

• On-board LCD display to provide live updates to students.

• Cloud-based centralized data for administrators and parents, improving transparency and reducing manual effort.

Advantages over existing systems:

• Combines GPS tracking with student-level monitoring.

• Simplifies implementation using cloud spreadsheets instead of complex apps or subscription services.

• Enhances safety, accountability, and communication while remaining cost-effective and scalable.

Future enhancements may include AI-driven route optimization, predictive delay alerts, emergency notifications, integration with school management systems, and energy-efficient or solar-powered modules.

Conclusion

This review paper analysed IoT-based smart school bus and student monitoring systems with a focus on the proposed model presented in the base paper. The study highlights how traditional school transportation systems suffer from lack of real-time tracking, manual attendance, and poor communication. IoT-based solutions effectively address these challenges by integrating location tracking, automated attendance, and cloud-based data management. The reviewed system demonstrates that combining ESP32, GPS, RFID, RTC, LCD display, and Google Sheets creates a reliable, efficient, and user-friendly transportation monitoring solution. Such systems significantly enhance student safety, improve operational efficiency, and strengthen communication between schools and parents. With future enhancements such as artificial intelligence and predictive analytics, IoT-based school transportation systems have strong potential to become standard solutions in modern education environments.

References

[1] Raj, J. T., and Sankar, J., “IoT Based Smart School Bus Monitoring and Notification System,” IEEE Region 10 Humanitarian Technology Conference, 2017. [2] Sridevi, K. et al., “Smart Bus Tracking and Management System Using IoT,” Asian Journal of Applied Science and Technology, 2017. [3] Emad, B., Elhakim, A., Abdulhamid, A., and Zualkernan, I. A., “An IoT-Based School Bus Tracking and Monitoring System,” International Conference on Education and New Learning Technologies, 2016. [4] Jisha, R. C., Jyothindranath, A., and Kumary, L. S., “IoT Based School Bus Tracking and Arrival Time Prediction,” ICACCI, 2017. [5] Huang, Z., Xu, X., Zhu, H., and Wang, C., “Multimodal Representation Learning for Recommendation in IoT,” IEEE Internet of Things Journal, 2019. [6] B. Gadade, A. O. Mulani, and A. D. Harale, “IoT Based Smart School Bus and Student Monitoring System,” Naturalista Campano, vol. 28, no. 1, 2024.

Copyright

Copyright © 2026 Pradnya Bansi Yewale, Sanika Kashinath Shinde, Rutuja Bhaskar Wadekar, Divya Santosh Wavhal, Prof. Arvind Laxman Kedar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.