| Issue |
ITM Web Conf.
Volume 85, 2026
Intelligent Systems for a Sustainable Future (ISSF 2026)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 8 | |
| Section | AI for Healthcare, Agriculture, Smart Society & Computer Vision | |
| DOI | https://doi.org/10.1051/itmconf/20268501010 | |
| Published online | 09 April 2026 | |
AI-Based Real-Time College Bus Tracking and Alert System
1 Dept of CSE, Sathyabama Institute of Science and Technology, Chennai, India
2 Dept of CSE, Sathyabama Institute of Science and Technology, Chennai, India
3 Dept of CSE, Sathyabama Institute of Science and Technology, Chennai, India
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Abstract
This study presents an intelligent safety and monitoring framework designed to enhance the efficiency and reliability of student transportation systems. The proposed solution automates student identification, enables continuous vehicle location tracking, and supports real-time communication. Student boarding events are authenticated using a unique identification mechanism, allowing attendance to be recorded automatically with high accuracy. Simultaneously, the bus location is updated continuously and shared through an online platform, enabling students and institutional authorities to monitor vehicle movement via a mobile application. The system generates instant notifications in cases of missed boarding and sends confirmation alerts upon successful entry. Attendance logs and location data are securely maintained on a cloud-based platform for real-time access and monitoring. An onboard display further provides visual confirmation of boarding events, improving transparency and minimizing manual errors. Overall, the integrated system enhances student safety, strengthens stakeholder communication, and reduces dependence on manual transportation management processes.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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