Design of Mathematical Model and Implementation of IoT Enabled Smart Secure Parking System

Abstract

The fast growth of cities and the resulting rise in traffic have made it necessary to create effective parking control systems. This paper talks about how to build and set up an Internet of Things (IoT)-enabled smart parking system. IoT technology is used in the suggested system to solve problems with current parking systems, like wasteful use of space, traffic jams, and damage to the environment. A detailed mathematical model is created to find the best way to assign parking spaces, cut down on the time it takes to look for open spots, and improve the overall user experience. The system design combines different Internet of Things (IoT) parts, like sensors, motors, and communication units, so parking places can be managed and watched in real time. The math model includes methods for allocating parking spots dynamically based on data from IoT sensors gathered in real time. The goal of this model is to guess where parking spots will be available, make the best use of those places, and cut down on the time people spend looking for parking. The technology also uses machine learning to look at old data and get better at making predictions over time. Details about how to implement are talked about in depth, such as the hardware setup, transmission methods, and program parts. A lot of models and real-life tests in a city are used to judge the system's success. The results show big changes in how parking spaces are used, less traffic, and lower pollution, all of which make cities more sustainable. The suggested smart parking system that uses the Internet of Things (IoT) is a cost-effective and scalable answer to today's parking problems. More work will be done in the future to improve the system's abilities using advanced machine learning techniques and to spread its use to more cities. This study shows that IoT technology has the ability to change the way cities work and make life better in smart cities.