IOT Based Online Bus Monitoring and Vacant Seat Detection System

Transportation management within educational institutions has become increasingly important as the number of students relying on college buses continues to grow.During peak hours, buses often become overcrowded, leading to discomfort, delays, and safety concerns.In the absence of realtime information, students face uncertainty regarding bus location and seat availability.To address these challenges, this project proposes an IoT-based Online Bus Monitoring and Vacant Seat Detection System that ensures smart, efficient, and safe transportation for college students.The system integrates infrared (IR) sensors, GPS modules, and a NodeMCU microcontroller to monitor seat occupancy and track the real-time location of each bus.The collected data is transferred to a cloud platform and made accessible through a mobile application and web dashboard.Students can view bus routes, available seats, and receive alerts when buses are full or delayed.The transport management team can also analyze the data for optimizing routes and reducing operational inefficiencies.This approach provides a cost-effective, reliable, and scalable solution for managing institutional bus systems.It enhances convenience for students, improves safety through better monitoring, and supports data-driven decision-making for administrators.The project demonstrates how IoT technology can transform traditional bus systems into intelligent, automated, and user-friendly transport networks.