SMART-TRAC: AN IOT-BASED REAL-TIME PUBLIC TRANSIT AND COMMUTER MONITORING SYSTEM FOR SMART CITIES
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Abstract
In recent years, commuters in tier-2 towns and small cities have encountered significant difficulties due to the lack of real- time tracking in public transport systems, leading to unpredictable schedules and overcrowding. This paper presents a comprehensive full-stack solution addressing the urgent need for a more reliable, optimized, and transparent approach to public transit management. The proposed system is a low-bandwidth Progressive Web Application (PWA) paired with an edge-computing IoT ingestion pipeline, designed to simplify commute planning through real-time GPS tracking and accurate estimated times of arrival (ETAs). Rather than relying on heavy, data-intensive map rendering and traditional HTTP polling, the system enables users to access critical transit data using minimal network resources via WebSockets and MQTT protocols. This study outlines the hardware-to-software architecture, spatial data processing algorithms, and usability of the system, demonstrating how a localized, data-efficient platform can promote sustainable transport and reduce dependency on private vehicles in growing urban centers
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