A QR Code-Based Intelligent Parking System with Feedback Analytics for Smart Urban Mobility
DOI:
https://doi.org/10.69996/fmep.2025016Keywords:
Smart Parking System, QR Code Authentication, Intelligent Transportation Systems, Real-Time Parking Monitoring, Sentiment Analysis, Secure Parking AccessAbstract
In recent years, urban congestion and inefficient parking have become significant challenges in smart city planning. This paper presents a QR Code-Based Smart Parking System designed to streamline parking management through automation, real-time user interaction, and feedback analytics. The proposed system incorporates secure login for both users and administrators, dynamic slot visualization, and QR code-based verification to minimize manual intervention and time delays. Furthermore, a feedback analysis module is integrated to assess user satisfaction using sentiment-based categorization, offering insights into service quality through graphical visualization. The system is developed using Django web framework with MySQL database support, ensuring secure data handling and robust performance. Simulation results demonstrate that the solution effectively improves parking allocation efficiency, user satisfaction, and system usability. This study contributes to the advancement of intelligent transportation infrastructure by offering a scalable and user-friendly smart parking model suitable for urban deployment.
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