Smart Parking Real-Time Parking Management System

Abstract

This thesis examines the current state of parking management systems in Algeria, aiming to develop a comprehensive digital solution for real-time parking management under the name SmartParking Real-Time Parking Management System. The research provides a thorough study of existing smart parking systems, identifies the shortcomings of the current situation, including the lack of digital coordination between stakeholders, excessive reliance on traditional and manual methods, and weak technical infrastructure, and proposes integrated technical and operational solutions to address these challenges. The methodology encompasses quantitative and qualitative data collection and analysis through electronic questionnaires, interviews, and field observation. Based on the findings, the functional and non-functional system requirements were defined, and the system architecture was designed using UML diagrams. This was followed by the implementation and testing of the system, which relies on a mobile application built with Flutter, an administrative dashboard using React and Vite, and an integrated cloud infrastructure via Firebase. The study contributes to building a smart and efficient parking ecosystem in the Algerian market, benefiting drivers, parking operators, and administrative entities alike.