IoT-Based Smart Parking System for Real-Time Monitoring and Smart City Applications

Abstract

This paper presents an IoT-based smart parking system designed to address urban parking challenges through real-time monitoring and automation. The system utilizes IR sensors, ESP32 microcontroller, and cloud-based data processing to detect vehicle occupancy and provide slot availability through a mobile application. The proposed system improves efficiency by reducing parking search time, minimizing fuel consumption, and enhancing user convenience. The architecture integrates sensing, communication, and application layers to ensure seamless data flow and scalability. Experimental evaluation demonstrates high accuracy and reliable performance, achieving approximately 95% detection accuracy and reducing parking search time by 40% compared to traditional parking systems. The system is cost-effective, scalable, and suitable for smart city applications, contributing to improved traffic management and reduced environmental impact.

Introduction

The proposed system uses IoT sensors (IR and ultrasonic), microcontrollers (ESP32/Arduino/NodeMCU), cloud platforms, and mobile applications to monitor parking slot availability in real time. Sensors detect whether parking spaces are occupied or vacant, and this data is sent to the cloud via Wi-Fi or GSM. Users can then view available slots, navigate to them, and even pre-book parking spaces through a mobile app.

The system also includes automated gate control using servo motors, SMS alerts via GSM, and GPS integration for location tracking. A cloud backend (e.g., Firebase or AWS IoT) stores and updates parking data, while a mobile app provides real-time visualization, booking, and notifications.

Testing results show high performance, with around 95% detection accuracy, fast response times (~1–2 seconds), and strong user satisfaction. The system significantly reduces parking search time (about 40%) and improves user experience compared to traditional manual parking systems.

Conclusion

The IoT-Based Smart Parking System is a step towards turning traditional parking lots into highly efficient and smart systems. The project demonstrates how the combination of IoT technologies — including the ESP32 microcontroller, IR sensors, ultrasonic sensors, servo motors, and cloud connectivity — can effectively address urban parking challenges. The system uses sensors to detect vehicle presence in respective parking slots and updates slot availability in a cloud database accessible via mobile application. Drivers can check parking slot availability in real time and plan their parking in advance, reducing excessive driving and improving traffic management. Key features include servo motor-operated entrance and exit gates that automatically open and close based on ultrasonic sensor readings, and IR sensors that monitor all parking slots with data transmitted via the ESP32 microcontroller. Availability status is displayed on an LCD screen or mobile app. The system can be further expanded with GPS and GSM modules. Overall, this project provides a cost-effective, user-friendly, and scalable solution that reduces congestion, environmental pollution, and promotes smart city practices.

References

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Copyright

Copyright © 2026 Aparna Pune, Miss. Nirmala Shinge. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.