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IoT and Cloud based Parking Allotment System
| International Conference on Next Gen AI, Innovation and Engineering Excellence 2025 |
| Department of Electronics & Telecommunication Engineering Ajeenkya D Y Patil School of Engineering, Pune |
| ICNIEE2025 - Number 1 |
| March 2025 |
| Authors: K.S. Vaidya, Ankush Kadu, Aayan Mulla, Kapil Katte, Om Donge |
K.S. Vaidya, Ankush Kadu, Aayan Mulla, Kapil Katte, Om Donge . IoT and Cloud based Parking Allotment System. International Conference on Next Gen AI, Innovation and Engineering Excellence 2025. ICNIEE2025, 1 (March 2025), 41-46.
Abstract
Efficient parking management remains a critical challenge in urban environments, contributing to traffic congestion, excessive fuel consumption, and environmental degradation. Conventional parking systems are limited by the absence of real-time tracking, often leading to underutilized spaces and increased road traffic. This paper introduces ParkEz, a novel IoT and cloud-based parking allotment system that leverages ultrasonic sensors and cloud infrastructure to deliver live parking availability updates and automate slot reservations. The system detects vehicle presence using IoT-enabled ultrasonic sensors and reflects slot status on a user-friendly web platform. Data is centrally stored and managed using MongoDB Atlas, enabling robust synchronization, remote access, and scalable deployment. Cloud integration also supports enhanced data security and sets the foundation for future predictive analytics capabilities. The system's performance is assessed through metrics of detection accuracy and operational efficiency in dynamic parking scenarios. Results confirm ParkEz’s ability to reduce waiting times, maximize space utilization, and improve overall user satisfaction. The proposed solution represents a scalable, intelligent framework suitable for smart city applications, contributing to improved urban mobility and environmental sustainability. This work adds to the expanding body of research on IoT-driven smart parking and showcases the transformative potential of cloud-integrated systems in modern urban infrastructure.
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