Adarsh Kulkarni, Amit K Shirasagar, Yash Mankar, GaneshK Shirsagar | International Journal of Embedded Systems and Emerging Technologies | Vol 11, Issue 01 | pp. 37-42 | ISSN: 2456-723X
Abstract
Limited parking places and ineffective management make parking in crowded cities frequently frustrating. Congestion and time loss result from traditional parking systems' lack of real-time updates. We suggest a smart parking system that uses Firebase, a real-time database that guarantees real-time updates, to address this. A smartphone app and sophisticated sensors placed in parking spots make up our solution. Users can use the app to determine parking availability in real time, reserve a spot in advance, and utilize GPS to find their parking spot. Sensors determine whether a parking space is occupied and immediately update the database to guarantee correct and current data. Our system's key features include cashless payments, secure user authentication, and data analytics to forecast parking demand and maximize space use. By combining these technologies, our smart parking system greatly increases user convenience, lowers traffic, and improves parking efficiency. With a more intelligent, data-driven approach, this system is intended to simplify urban parking management, which will benefit both drivers and parking lot operators. Our smart parking system integrates these technologies to increase efficiency, lessen traffic, and give drivers smooth experience.
Keywords:Car parking app, android app development, GPS, sensors, database
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How to cite this article
@article{KulkarniA2025,
author = {Adarsh Kulkarni and Amit K Shirasagar and Yash Mankar and GaneshK Shirsagar},
title = {Smart City Parking: Using AI, IoT, and Cloud for Real-Time Space Management},
journal = {International Journal of Embedded Systems and Emerging Technologies},
year = {2025},
volume = {11},
number = {01},
pages = {37--42},
issn = {2456-723X},
url = {https://journalspub.com/publication/ijeset/article=16232}
}