Smart parking - An integrated solution for an urban setting

Abstract

Parking could become a nightmare on a busy day, in a city like Delhi (India), which has about 7.35 million cars, as per MORTH Barclays Research (2012). An average of seventeen minutes and considerable amount of fuel is wasted in an effort to find a parking spot every time. Additional stress is induced due to parking hassles starting from finding an empty parking spot to relocating the car later. We propose a system leveraging the latest technologies that will help motorists overcome their parking problems and at the same time, make managing a parking space easier and cost effective by automating the entire process right from pre-booking a parking slot to making the payment. Since most of the parking spaces are equipped with CCTV surveillance cameras, we intend to use them to detect the presence of cars and measure the availability of parking spots within a parking space using techniques like image processing and machine learning. In order to test the performance of the proposed system, a prototype of the system is built that mimics the working of an actual parking space excluding minute details. A prototype of the application is built that would aid the user in booking the slot and guide him/her back to the allocated parking slot. The proposed system is compared with the existing systems and the results show superiority of the proposed system in terms of parameters like reliability, scalability and installation cost. � 2017 IEEE.