Real Time Public Transport Tracking System

For small cities where traditional GPS hardware solutions are expensive, this project presents a software-based real-time public transport tracking system. A driver’s smartphone is used by the system to send real-time location data to a cloud backend, where an ETA engine analyzes movement patterns and distance to forecast arrival times. Through a mobile interface, passengers can instantly view bus movement and ETA updates. Accuracy, affordability, and instantaneous data synchronization via real-time databases are the project’s main goals. The improved ETA computation model, which employs interval-based computations, speed smoothing, and geographic distance formulas to produce reliable forecasts appropriate for small-scale transport environments, is the work’s high point.