Authors : Devasenan S.; Gana Shree C.; Rathakrishnan M.; Swathi S.

Volume/Issue : Volume 10 - 2025, Issue 2 - February

Google Scholar : https://tinyurl.com/5xjffbfr

Scribd : https://tinyurl.com/mr3m87hw

DOI : https://doi.org/10.5281/zenodo.14979635

Abstract : Traditional city parking infrastructures cannot adapt to the demands of modern motorists, resulting in congestion, delay, and increased emissions. This project aims to optimize parking space utilization and user experience by employing machine learning algorithms. Based on historical data as well as real-time user-updated information, the system predicts parking availability, optimal parking management without extensive-scale IoT infrastructure. The app utilizes Firebase for a scalable and secure database and authentication mechanism, and Google Maps integration provides real-time navigation assistance for better parking direction. Flutter ensures cross-platform compatibility, making it possible for Android as well as iOS users to have an intuitive and smooth UI/UX. The primary features are advance booking of parking lots, possibility of time extension, and slot availability based on an hour, granting flexibility to users. A secure reservation system prevents double booking, and GPS-based navigation simplifies finding a parking space in an easy and convenient way. By preventing the use of costly hardware installations, this cost-effective, scalable, and eco-friendly solution enables sustainable urban mobility by reducing emissions and improving the parking experience overall.

Keywords : Smart Parking System, Parking Availability, Firebase and Google Maps Integration, Cross-Platform Parking App, Sustainable Urban Mobility.

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