A Comparative Analysis of Smart Parking Systems: Challenges, Technologies, Innovations and Future Directions


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 :

  1. 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.
  2. 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.
  3. 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 Cybernetics15(7), 2673-2694.
  4. 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 Cities4(2), 623-642.
  5. 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).
  6. 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 Access11, 119523-119543.
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  11. Hovorushchenko, T., Pavlova, O., & Kostiuk, M. (2023). Method of Increasing the Security of Smart Parking System. Journal of Cyber Security and Mobility, 297-314.
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  13. Lin, T., Rivano, H., & Le Mouël, F. (2017). A survey of smart parking solutions. IEEE Transactions on Intelligent Transportation Systems, 18(12), 3229-3253.
  14. 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.
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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

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