ADVANCED PARKING AND SMART CROSSING TRAFFIC MANAGEMENT SYSTEM USING IOT

Abstract

Internet of things (IoT) and Artificial Intelligence (AI) both are currently in high demand and have a lot of scope in future as well. Nowadays, the concept of smart cities is very popular. IoT is a key player for achieving the idea of smart cities. Many efforts are being made in this sector of IoT for making a better infrastructure of any city. In urban cities, we are also facing many problems like very less parking facility, safety during travelling and congestion of traffic.

As the movement of world is very fast and seamless transportation system is not providing by current transport system. People are getting delay due to extra jam on traffic while they are on their own way to work, home or any other places. This is a major reason of fuel burning and time delay. Currently, almost every person who has a vehicle is facing a very serious problem of parking.

With proposed IoT solution we can solve these problems more efficiently. In our thesis, we have come up with an algorithm that can help in resolving traffic congestion and making parking system smarter. We have proposed an algorithm for reading car number plate i.e. License Number Plate (LNP) detection based on advanced algorithm for convergence of grey scale image and morphologic effect. We suggested for traffic control, Intersection time deduction advanced techniques with the help of IoT sensors and AI (Fuzzy system). In given time duration number of passed vehicles can be maximized. We have also included Cloud based parking system with the help of IoT, Which uses IoT based module to scan vacant space in parking area.

Hereafter, we can work on AI techniques for Vehicle Over speed monitoring, automatically detecting road accident and contact emergency number, an IoT based system for privacy and security of data for Smart parking and improvement in traffic control.