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VOL. 10, ISSUE 3 (2025)
Real-time AI solutions for school and college transportation safety and tracking
Authors
Mahendra Vishwanath Thakare, Omkar Rohidas More
Abstract
Ensuring the safety and efficient tracking of
school and college transportation is a critical concern for educational
institutions and parents. This paper presents a real-time AI-powered solution
that integrates GPS tracking, computer vision, and machine learning to enhance
student safety and optimize transportation management. The proposed system
utilizes AI-driven route optimization, real-time vehicle tracking, facial
recognition for student authentication, and predictive analytics to identify
potential risks such as unauthorized route deviations, traffic congestion, and
hazardous driving behavior. Additionally, an AI-enabled alert system notifies
stakeholders, including school authorities and parents, about real-time bus
locations, estimated arrival times, and emergency situations. The solution
employs cloud-based data processing and IoT-enabled sensors to ensure seamless
connectivity and accurate monitoring. By leveraging artificial intelligence,
the system enhances operational efficiency, minimizes delays, and ensures
proactive risk mitigation, thereby revolutionizing school and college
transportation safety. This research highlights the potential of AI-driven
solutions in creating a safer and more reliable transportation ecosystem for
educational institutions.
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Pages:83-86
How to cite this article:
Mahendra Vishwanath Thakare, Omkar Rohidas More "Real-time AI solutions for school and college transportation safety and tracking". International Journal of Advanced Scientific Research, Vol 10, Issue 3, 2025, Pages 83-86
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