IOT -DRIVEN SMART PARKING SYSTEM AND TRAFFIC MANAGEMENT FOR URBAN CITIES

Abstract

In new generation, this is an era of Internet of things (IoT) and Artificial Intelligence (AI). Present time the concept of smart cities more popular in all over the world. IoT is an important for achieving the idea of smart cities. For making better in infrastructure of any city, many efforts are ongoing in this IoT sector. Also, in any city we are facing many problems such like congestion of traffic, very less parking facility and safety when travel during road.

As world is moving fast and current transport system is not providing seamless transportation system users. Extra jam on traffic produced to delays while we are going to home or work or any other places. This is also a reason of time delay and fuel burn. Currently, parking is also a very serious problem for each person who has vehicle.

With use of IoT, we proposed a solution which help to solve these problems. In this thesis, we have developed an algorithm which was helpful for traffic congestion and problem of parking system.

For reading car number plate, we proposed an algorithm of License Number Plate (LNP) detection on the basis of advanced algorithm for convergence of grey scale image & morphologic effect.

For traffic management, reducing time in Intersection, we proposed advanced techniques with use of AI (Fuzzy system) and IoT sensors. Maximum number of vehicles can have passed in given time duration.

Also, we presented an IoT based on cloud adding parking system. System used IoT module for using to monitor the availability of parking space.

In future, we will propose a security and privacy of data for Smart parking and for traffic control enhancement of AI techniques for vehicle overspeed detection and auto detection of car accident and contact SOS number.