INTERNET OF THINGS-BASED PARKING MANAGEMENT SYSTEM FOR METRO AND SMART CITIES

COMPUTER SCIENCE ENGINEERING

Recently parking has become a serious issue and even worse, because of the increasing number of automobiles everywhere. In this paper we propose an IoT based guidance for user as well as Upcoming self-driving vehicles to search parking space for the vehicle. it also help user to choose the right vehicles to travel according to the parking spaces available to the destination point. it provides an intelligent guidance to the user, user can choose their travelling vehicle as two wheelers, four wheelers or public transport according to the traffic density. It aims to develop an intelligent parking guidance system. which reduces difficulty in conventional parking system. The system can monitor the state of every parking slot by deploying a sensor node on the slot. Accordingly, sensor senses the status of parking slot and sends status to central node server controller. The controller unit collects the data from all sensor node and upload to the server using http protocol where user can check the parking status from anywhere using internet and any browser. The system can also integrate with the artificial intelligence network like google assistance and self-driving car. Google assistance assist user to choose right vehicle according to the traffic density and parking space available at the destination point. User can simply see the space available by clicking in google map of their destination building or social parking.

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