A Cloud-Based Real-Time Public Transport Tracking System Using Java Full-Stack Architecture

Author(s)	Ms. Rajnandini Niloba Gidde, Ms. Dhanashri Mahadev Dhaygude, Ms. Divya Rajendra Ingale
Country	India
Abstract	Urban public transportation systems often face delays and lack real-time visibility, leading to passenger inconvenience. Traditional schedule-based systems fail to adapt to dynamic traffic conditions, resulting in inaccurate arrival information. This paper presents a cloud-based real-time public transport tracking system developed using a Java full-stack architecture. The system provides live vehicle tracking, dynamic ETA prediction, and real-time notifications using RESTful APIs, WebSockets, and cloud deployment. Experimental results show improved ETA accuracy and system responsiveness compared to timetable-based approaches, making the system suitable for smart city transportation solutions.
Keywords	Real-Time Tracking, Public Transport, Java Full-Stack, WebSockets, Cloud Computing, ETA Prediction
Field	Engineering
Published In	Volume 8, Issue 1, January-February 2026
Published On	2026-02-24

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International Journal For Multidisciplinary Research