Development and Implementation of a Smart Parking System in Coimbatore, Tamil Nadu: Enhancing Urban Mobility and Efficiency

This paper discusses the creation of a detailed smart parking app designed to improve the effectiveness and ease of use of city parking systems. The application includes many advanced features and technologies to streamline the parking process for users and optimize parking lot management. The early stages of development focused on creating a user-friendly interface, including a sign-up page built using the Flutter framework. The integration of webcam functionality enabled real-time detection of the number of cars within the camera's focus, providing users with accurate information about parking availability. Payment integration was seamlessly integrated into the application, allowing users to securely pay for parking services. Leveraging machine learning techniques, specifically random forest detection, further increased the accuracy of car detection within the camera feed. Additionally, analogic modeling was used to simulate traffic flow at intersections and junctions, helping to understand vehicle traffic patterns and optimize parking slot. The application fetches and stores data on user activity and parking availability using Firebase, ensuring efficient data management and real-time updates. The culmination of these efforts is a robust smart parking application capable of providing users with real-time parking information, seamless payment options and customized parking management solutions. The work demonstrates the potential of integrating different technologies to solve complex urban challenges and pave the way for smarter and more efficient parking solutions.