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

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.

Authors

Publication Details

Published
2025-06-16
DOI
https://doi.org/10.38124/ijisrt/25jun634
Citations
1
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
1.01
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article

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

Wael Farag, Mostafa Labib, Muhammad Amin, Ibrahim Ramadan et al.
1 citations
Smart Parking Systems Research
1.01
article

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

Wael Farag, Mostafa Labib, Muhammad Amin, Ibrahim Ramadan, Shaimaa Gamal Fakhr
article en
1 citations

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.

Openalex Percentile: Top 24%
Smart Parking Systems Research
1.01
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A Comparative Analysis of Smart Parking Systems: Challenges, Technologies, Innovations and Future Directions — Wael Farag, Mostafa Labib, et al. · (2025) | TGRS Research Map | TGRS