Smart parking system using internet of things.

The IOT can link a wide range of devices and resources at any time and in any location, with a variety of applications. It is a relatively new technology. Highest contemporary research discussion topics in the Internet of Things are smart automobile parking. A latest urban city's roadways have nearly a million cars on them, but there isn't enough parking space. Furthermore, the majority of current researchers advocate for data management in the cloud. This procedure may be deemed an issue because source data is transferred from various sensors to the parking area through cloud, then received after processing. This is a pricey technology because of data transmission, energy cost and usage. Most of available methods focus on finding vacant parking spaces while disregarding other important difficulties such as information regarding neighboring auto parking and traffic overcrowding, this research exceeds and offers an alternative. The paper presents a smart car parking system which will enable people in resolving the problem of finding a parking spot and reducing the amount of time spent looking for the nearest available parking spot. It also informs users about the current state of traffic congestion on the highways. Furthermore, to limit network data transmission, the proposed system gathers original information and take out features utilizing data filtering and fusion methods. So, converted data is then uploaded to the cloud, where it is processed and evaluated using machine learning techniques. [ABSTRACT FROM AUTHOR]