Cyberpark: An-IoT based Automated Parking Management and Monitoring System using RFID and ESP32

Nur Amalina Muhamad; Norhalida Othman; Nor Diyana Md Sin; Noor Hasliza Abdul Rahman; Muhammad Iskandar Mohd Rodzi

doi:10.24191/jcrinn.v10i2.547

Cyberpark: An-IoT based Automated Parking Management and Monitoring System using RFID and ESP32

Authors

Nur Amalina Muhamad Faculty of Electrical Engineering, Universiti Teknologi MARA Johor Branch, Pasir Gudang Campus, 81750 Masai, Johor, Malaysia.
Norhalida Othman Faculty of Electrical Engineering, Universiti Teknologi MARA Johor Branch, Pasir Gudang Campus, 81750 Masai, Johor, Malaysia.
Nor Diyana Md Sin Faculty of Electrical Engineering, Universiti Teknologi MARA Johor Branch, Pasir Gudang Campus, 81750 Masai, Johor, Malaysia.
Noor Hasliza Abdul Rahman Faculty of Electrical Engineering, Universiti Teknologi MARA Johor Branch, Pasir Gudang Campus, 81750 Masai, Johor, Malaysia.
Muhammad Iskandar Mohd Rodzi Faculty of Electrical Engineering, Universiti Teknologi MARA Johor Branch, Pasir Gudang Campus, 81750 Masai, Johor, Malaysia.

DOI:

https://doi.org/10.24191/jcrinn.v10i2.547

Keywords:

Smart Parking System, Internet of Things (IoT), RFID, Real-Time Monitoring, ESP32 and Arduino Integration

Abstract

The growing number of vehicles in urban and institutional areas has created significant challenges in parking space management. Traditional parking systems, which rely on manual processes, are often inefficient, time-consuming, and lack real-time information, leading to increased traffic congestion, fuel consumption, and user dissatisfaction. To address these issues, this paper presents Cyberpark, an IoT-based Automated Parking Management and Monitoring System that integrates smart technologies to improve parking operations, enhance user convenience, and increase infrastructure safety. Cyberpark utilizes RFID technology for secure and automated vehicle access, infrared (IR) sensors to detect parking slot occupancy, servo motors to control entry and exit gates, and a water sensor to detect flooding within the parking area. The system incorporates two microcontrollers: Arduino UNO for local control and ESP32 for wireless communication with the Adafruit IO cloud platform. Real-time data from all sensors is uploaded to the cloud, allowing for remote monitoring and status updates via an online dashboard. The development process involved circuit simulation using Proteus 8 Professional and functional testing through the Wokwi simulator. Hardware components were assembled on a custom PCB, and the software was developed using the Arduino IDE. Results showed effective system performance in automating gate operations, accurately monitoring parking slot status, and issuing timely alerts during flood conditions. The real-time dashboard allowed for seamless user interaction and remote oversight. Cyberpark demonstrates the feasibility of integrating low-cost, open-source hardware with cloud-based IoT platforms to create a scalable, user-friendly, and environmentally responsive smart parking solution. This system is suitable for deployment in campuses, shopping complexes, or residential areas. The project contributes to the development of smart city infrastructure by offering a reliable, efficient, and safe approach to modern parking management.

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References

Abdulsaheb, J. A., Hussien, A. A., & Al-Naji, L. A. (2020). IoT based smart parking system. International

Journal of Scientific & Engineering Research, 11(3), 50–55.

Ahmed, M. M., Chowdhury, S. A., & Reza, M. M. (2018). IoT based smart parking system for urban cities.

International Journal of Computer Applications, 180(20), 7–10.

Alymani, M., Alsharif, M. H., & Alfarraj, O. (2025). Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning. PeerJ Computer Science, 11, e2544. https://doi.org/10.7717/peerj-cs.2544

Alsafar, A., Bader, A., & Hamad, S. (2025). Advanced IoT-integrated parking systems with automated license plate recognition and flood detection. Scientific Reports, 15(1), 1123. https://doi.org/10.1038/s41598-025-1123-x

Azmi, N. M. F. A. B., & Ismail, M. B. (2021). Smart parking system using IoT with ultrasonic sensor. National Seminar on Embedded Systems, 1–5.

El Bilali, H., Arrar, A., & Cherti, L. (2022). Intelligent parking systems and their economic and environmental impact: A review. Energy Reports, 8, 240–251. https://doi.org/10.1016/j.egyr.2022.09.012

Elakya, R., Lakshmi, P., & Sharmila, D. (2019). Smart parking system using IoT. International Research

Journal of Engineering and Technology (IRJET), 6(4), 275–279.

Gowda, Y., Ashwini, R., & Kiran, M. (2021). Smart parking system using IoT. International Journal of

Advanced Research in Computer & Communication Engineering, 10(6), 200–204.

Mani, R. M., & Bhat, V. V. (2020). Smart parking system. International Journal of Engineering Research & Technology (IJERT), 9(3), 122–125. https://doi.org/10.17577/IJERTV9IS090305

Suhartono, P., Nugraha, H. R., & Pratama, M. D. (2023). Development of smart parking systems using RFID sensors for online verification in different areas. IoT and Applications (IOTA), 3(2), 45–50.

Vantagudi, X., Sharma, R., & Raj, K. (2024). IoT-enabled smart car parking system through integrated sensors and mobile applications. arXiv preprint. https://arxiv.org/abs/2403.10123