Internet-of-Things Based on Smart Car Parking System in Traffic Congestion

Abstract

Billion objects and services can be connected through the Internet of Things (IoT) at anytime, anywhere, and for a variety of purposes. The existence of smart cities is now a verified issue that requires in-depth research. One of the main issues with smart cities is traffic congestion from the large number of cars on the road, which makes it difficult to find parking and causes people to arrive late for work. This study examines the IoT smart parking system, which is comprised of sensors and other distance-measuring devices linked to a WiFi-enabled networking device. It is also part of a smartphone application and cloud service that provides users with the information they need to locate an empty parking space. The study suggests a smart car parking system that will help consumers find parking spots and cut down on the amount of time they have to spend looking for the closest lot. It also gives users the status of traffic congestion on the roads. This expense will go towards providing the user with a way to request a parking spot when one is available, as well as a way to recommend a new parking lot if the present one is filled. The program reduces user waiting time and increases the likelihood of successful parking, according to the simulation findings. Additionally, we successfully put the suggested system into practice outside of the lab.