Enhanced smart commuting with artificial intelligence for intelligent health and safety monitoring in school buses
Hanin Hossam, Rofida Tamer, Mariam Mohsen, Omnia Ahmed, Mennatallah Alaa, Joumana Mourad, Rana Adel, Amira Hatem, Sameh Sherif
TL;DR
ESC.AI is a smart system using AI and sensors to improve safety and health monitoring in school buses for students and others on the road.
Contribution
ESC.AI introduces a unified framework combining edge AI, IoT, and blockchain for real-time safety and health monitoring in school buses.
Findings
School bus-related crashes in the U.S. resulted in 104 fatalities in 2022, with most involving other vehicles or pedestrians.
ESC.AI integrates IoT, computer vision, and edge-cloud computing to enable proactive risk detection and real-time decision-making.
Blockchain is used to enhance data integrity and access control for sensitive safety records in the system.
Abstract
This paper introduces ESC.AI (Enhanced Smart Commuting with Artificial Intelligence), an intelligent and integrated safety framework designed to improve health monitoring, environmental awareness, behavioral detection, driver supervision, and route optimization in school bus transportation systems. The proposed framework combines multimodal sensing, edge-based artificial intelligence, adaptive routing, and secure data management to enable proactive risk detection and real-time decision-making during transit. Although school buses remain one of the safest modes of transportation for students, recent national statistics continue to highlight persistent risks related to health emergencies, behavioral incidents, and environmental hazards. According to data from the National Safety Council (NSC) and the National Highway Traffic Safety Administration (NHTSA), school bus–related crashes…
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Taxonomy
TopicsTraffic and Road Safety · IoT and GPS-based Vehicle Safety Systems · Traffic Prediction and Management Techniques