IOT-Enabled Vehicle Space Identification And Booking System

Abstract

With a significant increase in the number of vehicles in recent years, drivers often waste time searching for available parking spots or waiting in queues to enter parking areas. This not only leads to fuel wastage but also contributes to air pollution. An effective solution to this problem is the implementation of an innovative parking management system. In order to allow drivers to examine available parking spaces and book a spot before arriving at the parking area, this project focuses on building a smart parking management system. Because the system is web-based, drivers don't need to download any mobile apps. It uses sensors to determine which slots are available, and each slot has an indication affixed to show whether it is reserved, occupied, or empty. The ESP32 modules in charge of these indicators store their data on the Firebase cloud. The sensors are calibrated to distinguish between open and occupied slots based on a threshold distance. According to experimental findings, the sensors attain a 94.72% accuracy rate. But from the moment a reservation is made until it is finally confirmed, there is a ten-second wait.