Smart Bus System

The proposed Smart Bus System provides an efficient and      user-friendly     solution for         improving       public transportation services. The system integrates real-time GPS-based bus tracking with a web-based passenger application to provide important information such as the current location of the bus, route details, upcoming bus stops, estimated time of arrival, and remaining distance. The onboard passenger information system further improves the travelling experience by displaying the current and upcoming stops and providing automatic voice announcements. The proposed system reduces passenger waiting time, improves accessibility to transportation information, and helps passengers plan their journeys more effectively. By integrating real-time tracking, passenger information, onboard navigation, and smart safety features into a single platform, the proposed system has the potential to make public transportation more reliable, convenient, and intelligent. The developed web application demonstrates the practical implementation of the proposed concept and provides a foundation for further development of a complete smart public transportation system. In the future, the system can be enhanced by incorporating AI and machine learning for accurate ETA prediction, dynamic route and schedule optimization, traffic-based route adjustment, passenger-density monitoring, predictive maintenance, and advanced safety features. Thus, the proposed Smart Bus System can contribute towards the development of a safer, smarter, and more efficient public transportation network.

K. Ganesh, M. Thrivikraman, J. Kuri, H. Dagale, G. Sudhakar, and S. Sanyal, “Implementation of a Real Time Passenger Information System,” 2012 International Conference on Intelligent Transportation Systems, 2012. The work discusses GPS-based bus tracking, ETA prediction, web-based passenger information, and voice announcements. J. Lohokare, R. Dani, S. Sontakke, and R. Adhao, “Scalable Tracking System for Public Buses Using IoT Technologies,” IEEE International Conference on Energy, Internet and ICT, 2017, DOI: 10.1109/ETIICT.2017.7977019. A. A. Shaikh, A. B. Ansari, R. Khan, and A. S. Khan, “Internet of Things (IoT) Based Real Time Bus Monitoring and Passenger Information System,” International Journal of Advance Engineering and Research Development, vol. 5, no. 7, pp. 1042–1047, 2018. N. Shinde and S. Ansari, “Intelligent Bus Monitoring System,” International Journal of Computer Applications, vol. 168, no. 3, pp. 27–30, 2017, DOI: 10.5120/ijca2017914352. This work includes GPS tracking, current/next-stop information, arrival timing, and passenger-oriented monitoring.  Skhosana, M. and Ezugwu, A. E., “A Real-Time Machine Learning-Based Public Transport Bus-Passenger Information System,” International Journal of Sustainable Development and Planning, vol. 16, no. 7, pp. 1221–1238, 2021, DOI: 10.18280/ijsdp.160703.  Murdan, A., “Low-cost bus seating information technology system,” IET Intelligent Transport Systems, 2020, DOI: 10.1049/iet-its.2019.0529. This is useful for the passenger-monitoring/occupancy aspect of a smart bus. J. B. B. Ignacio, M. P. Millo, R. Y. Vicente, and J. M. A. Tennom, “Development of an Internet of Things (IoT)-Based Real-Time Public Transport Passenger Tracking System,” Linker: Journal of Engineering, Computing and Technology, vol. 2, no. 2, 2025.