Cloud Based Smart Parking System for Smart Cities

The rise in population is a major concern as management of resources becomes difficult. With the increase in population, there is a need for smart cities. Smart cities are developed in such a way that the problems are solved using technologies like Internet of Things (IoT) technology. One such problem is parking. Parking in busy streets is difficult and is a cause of lot of inconvenience to the people. The difficulty lies in the fact that people will not know the availability of parking slots. The aim of this paper helps to ease the parking issues faced by the people by the use of a smart parking system. The free parking slot is determined using IR sensors connected to an Arduino board and the data is uploaded to the ThingSpeak Cloud. The data from the cloud can be fetched and the parking slot availability can be obtained in real time through a mobile application. This paper also emphasizes on explaining the functionalities and architectural details of ThingSpeak Cloud, Arduino and PLX_DAQ Software. The paper also provides the methodology for implementing this work. The efficient software, devices have been identified and the further improvements which are probable have been described briefly.