Authors :
Dr. Mostafa Ibrahim Labib; Dr. Wael Mohamed Farag; Dr. Shaimaa Gamal Fakhr; Dr. Mohamed Amr amin; Dr. Ibrahim Mohamed Ramadan
Volume/Issue :
Volume 10 - 2025, Issue 6 - June
Google Scholar :
https://tinyurl.com/mryevy6z
DOI :
https://doi.org/10.38124/ijisrt/25jun634
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The rapid growth of urban populations has intensified the demand for efficient parking solutions in cities. This
Paper presents a comparative analysis of existing Smart Parking Management System challenges and implementation, as
well as, it proposes a technique for utilizing the ESP32 microcontroller to optimize parking space usage and reduce
congestion. The system leverages IoT technology to detect the real-time availability of parking slots using ultrasonic sensors
connected to ESP32 boards. Data collected is transmitted via Wi-Fi to a central server, where it is processed and made
accessible through a web or mobile application, enabling users to locate and reserve available parking spaces in advance.
The system also incorporates features like automated billing, entry/exit tracking, and integration with navigation systems
for user convenience. By providing real-time monitoring and intelligent space management, this ESP32-based solution
enhances urban mobility, reduces carbon emissions caused by prolonged vehicle idling, and contributes to the development
of smart city infrastructure.
Keywords :
Smart Parking, Smart Cities, Wireless sensor networks (WSN), Internet of Things (IoT), Arduino, ESP32, Radio Frequency Identification (RFID), Sensors, Urban Mobility
References :
- Jabbar, W. A., Tiew, L. Y., & Shah, N. Y. A. (2024). Internet of things enabled parking management system using long range wide area network for smart city. Internet of Things and Cyber-Physical Systems, 4, 82-98.
- Biyik, C., Allam, Z., Pieri, G., Moroni, D., O’fraifer, M., O’connell, E., ... & Khalid, M. (2021). Smart parking systems: Reviewing the literature, architecture and ways forward. Smart Cities, 4(2), 623-642.
- Raj, A., & Shetty, S. D. (2024). Smart parking systems technologies, tools, and challenges for implementing in a smart city environment: a survey based on IoT & ML perspective. International Journal of Machine Learning and Cybernetics, 15(7), 2673-2694.
- Biyik, C., Allam, Z., Pieri, G., Moroni, D., O’fraifer, M., O’connell, E., ... & Khalid, M. (2021). Smart parking systems: Reviewing the literature, architecture and ways forward. Smart Cities, 4(2), 623-642.
- Walsh, D. Reducing Our Reliance on Cars: The Shifting Future of Urban Transportation. Available online: https://mitsloan.mit.edu/ideas-made-to-matter/reducing-our-reliance-cars-shifting-future-urban-transportation (accessed on 13 April 2025).
- Alam, M. R., Saha, S., Bostami, M. B., Islam, M. S., Aadeeb, M. S., & Islam, A. M. (2023). A Survey on IoT Driven Smart Parking Management System: Approaches, Limitations and Future Research Agenda. IEEE Access, 11, 119523-119543.
- Ibrahim, I. M., Elghafar, M., Mohamed, M., Ayoub, M., & Abuhadrous, I. (2024). AI-Powered Parking Management Systems: A Review of Applications and Challenges. Advanced Sciences and Technology Journal, 1(2), 1-22.
- Fahim, A., Hasan, M., & Chowdhury, M. A. (2021). Smart parking systems: comprehensive review based on various aspects. Heliyon, 7(5).
- Sudhakar, M. V., Reddy, A. A., Mounika, K., Kumar, M. S., & Bharani, T. (2023). Development of smart parking management system. Materials Today: Proceedings, 80, 2794-2798.
- Agarwal, Y., Ratnani, P., Shah, U., & Jain, P. (2021, May). IoT based smart parking system. In 2021 5th international conference on intelligent computing and control systems (ICICCS) (pp. 464-470). IEEE
- Hovorushchenko, T., Pavlova, O., & Kostiuk, M. (2023). Method of Increasing the Security of Smart Parking System. Journal of Cyber Security and Mobility, 297-314.
- Hilmani, A., Maizate, A., & Hassouni, L. (2018). Designing and managing a smart parking system using wireless sensor networks. Journal of sensor and actuator networks, 7(2), 24.
- Lin, T., Rivano, H., & Le Mouël, F. (2017). A survey of smart parking solutions. IEEE Transactions on Intelligent Transportation Systems, 18(12), 3229-3253.
- Labib, M. I., ElGazzar, M., Ghalwash, A., & AbdulKader, S. N. (2021). An efficient networking solution for extending and controlling wireless sensor networks using low-energy technologies. PeerJ Computer Science, 7, e780.
- Barone, R. E., Giuffrè, T., Siniscalchi, S. M., Morgano, M. A., & Tesoriere, G. (2014). Architecture for parking management in smart cities. IET Intelligent Transport Systems, 8(5), 445-452.
The rapid growth of urban populations has intensified the demand for efficient parking solutions in cities. This
Paper presents a comparative analysis of existing Smart Parking Management System challenges and implementation, as
well as, it proposes a technique for utilizing the ESP32 microcontroller to optimize parking space usage and reduce
congestion. The system leverages IoT technology to detect the real-time availability of parking slots using ultrasonic sensors
connected to ESP32 boards. Data collected is transmitted via Wi-Fi to a central server, where it is processed and made
accessible through a web or mobile application, enabling users to locate and reserve available parking spaces in advance.
The system also incorporates features like automated billing, entry/exit tracking, and integration with navigation systems
for user convenience. By providing real-time monitoring and intelligent space management, this ESP32-based solution
enhances urban mobility, reduces carbon emissions caused by prolonged vehicle idling, and contributes to the development
of smart city infrastructure.
Keywords :
Smart Parking, Smart Cities, Wireless sensor networks (WSN), Internet of Things (IoT), Arduino, ESP32, Radio Frequency Identification (RFID), Sensors, Urban Mobility