A Real-Time GPS-Based Bus Tracking and Passenger Information System for Smart Urban Public Transportation
Abstract
Urban public transportation plays an important role in city mobility, but it often struggles with irregular bus timings and a lack of real-time updates. Many mid-sized cities still depend on fixed schedules and manual coordination, which reduces efficiency. With the widespread use of smartphones, GPS, and cloud technology, there is a practical opportunity to improve transport monitoring through software-based solutions. This paper presents the design and development of a real-time GPS-based bus tracking and passenger information system. The system gathers live bus location data through a mobile app used by drivers and sends it to a cloud server. Passengers can check bus locations, routes, and estimated arrival times through a simple mobile interface connected to digital maps. By avoiding dedicated GPS hardware, the system lowers costs and allows easy expansion. The study explains the system architecture, implementation process, and its practical use for passengers and transport authorities. The proposed solution improves operational visibility and supports better transport management, while also preparing the system for future smart city integration.
References
F. Siddiqui, A. Springwala, D. Shaikh, and S. Siddiqui, “GPS based bus arrival time prediction system,” International Journal of Engineering Research & Technology, vol. 3, no. 2, pp. 2415–2416, 2014.
Y. H. A. Abdelhafed, “Improving transportation management by real-time bus tracking using GPS,” International Journal for Research in Applied Science and Engineering Technology, vol. 13, no. 8, pp. 1173–1180, 2025.
S. S. Bedar, F. B. Khan, T. M. Kannadiar, and T. Zombade, “Smart bus arrival system,” International Journal for Research in Applied Science and Engineering Technology, vol. 13, no. 3, pp. 2694–2701, 2025.
A. Sonawane, A. Bhanushali, K. Gogri, and M. Khairnar, “Real-time bus tracking system,” International Journal of Engineering Research & Technology, vol. 9, no. 6, 2020.
P. J. Babu, K. Kuruvilla, V. Mani, A. G, S. K. R. Sethulakshmi, and M. P. K. S, “GPS based bus tracking system,” International Journal of Engineering Research & Technology, vol. 9, no. 13, pp. 201–205, 2021.
T. A. Salih and N. K. Younis, “Designing an intelligent real-time public transportation monitoring system based on IoT,” Open Access Library Journal, vol. 8, no. 10, pp. 1–4, 2021.
K. Ganesh, M. Thrivikraman, J. Kuri, H. Dagale, G. Sudhakar, and S. Sanyal, “Implementation of a real-time passenger information system,” arXiv preprint arXiv:1206.0447, 2012.
B. D. Bharathi, B. A. Kumar, A. Achar, and L. Vanajakshi, “Bus travel time prediction: A log-normal auto-regressive modelling approach,” Transportmetrica A: Transport Science, vol. 16, no. 3, pp. 807–839, 2020.
D. Liu, J. Sun, and S. Wang, “Bustime: Which is the right prediction model for my bus arrival time,” in Proceedings of the 5th IEEE International Conference on Big Data Analytics, 2020, pp. 180–185.
W. H. Lin and J. Zeng, “Experimental study of real-time bus arrival time prediction with GPS data,” Transportation Research Record, vol. 1666, no. 1, pp. 101–109, 1999.
J. C. Ogbonna, C. E. Nwokorie, J. N. Odii, and C. C. Ukaegbu, “Real-time public vehicle mobile tracking system using global positioning system technology,” International Journal of Computer Trends and Technology, vol. 38, no. 2, pp. 71–80, 2016.
A. Zear, P. K. Singh, and Y. Singh, “Intelligent transport system: A progressive review,” Indian Journal of Science and Technology, vol. 9, no. 32, pp. 1–8, 2016.
I. Olivkova, “Passenger information systems in public transport,” Communications, no. 3, 2008.
M. R. Vieira, L. Barbosa, M. Kormáksson, and B. Zadrozny, “Usapiens: A system for urban trajectory data analytics,” in Proceedings of the 16th IEEE International Conference on Mobile Data Management, 2015, pp. 255–262.
M. Hassan, A. Al Nafees, S. S. Shraban, A. Paul, and H. D. Mahin, “Application of machine learning in intelligent transport systems: A comprehensive review and bibliometric analysis,” Discover Civil Engineering, vol. 2, no. 1, p. 98, 2025.
N. Khwaja, S. Kadivala, S. M. Musharaf, and V. Baloda, “Real-time bus tracking system,” International Journal of Advanced Research in Science, Communication and Technology, vol. 2, no. 3, pp. 86–90, 2022.
P. Escamilla-Fajardo, J. M. Núñez-Pomar, and A. M. Gómez-Tafalla, “Exploring environmental and entrepreneurial antecedents of social performance in Spanish sports clubs,” Sustainability, vol. 12, no. 10, p. 4234, 2020.
A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, “Internet of things: A survey on enabling technologies, protocols, and applications,” IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347–2376, 2015.
S. Nawaz, C. Efstratiou, and C. Mascolo, “Parksense: A smartphone-based sensing system for on-street parking,” in Proceedings of the 19th Annual International Conference on Mobile Computing and Networking, 2013, pp. 75–86.
