How This Technology Can Solve Parking Problems In India

Parking search can be a problem not only in India but also in many other countries in the world as the population grows. In the United States, an Indian student has worked on the invention of an algorithm that allows users to search for parking spaces by analyzing large data and spatial data. This saves a lot of money and time for drivers.

A student studying at The University of Alabama (UAH) - Sai Nikhil with his innovative invention won the second prize for the Science and Technology Open House competition in 2018.

Sai graduated with a degree in communications and electronics engineering from the Birla Institute of Technology and Science in Pilani. He hopes to be able to develop and improve the mobile application that helps drivers easily find the available parking location called InstaPark. This way, users can see the empty parking space or other vehicles parking in real time.

The solution for Parking Cars

Sai's discovery is based on in-depth learning techniques and large data analytics to guide the drivers driving to an empty space directly to park.

The process of analyzing large data is extremely complex, including examining large and diverse data sets for exploring information such as unspecified correlations, hidden patterns, customer preferences, and market trends.

Synthesizing the knowledge learned and research, Sai formed the idea as soon as the university was moved to the parking lot area last fall.

According to InstaPark's creator, 11 am - 1 pm is rush hour for the car park when faculty members and students are likely to have troubles finding a parking spot. Consequently, that causes them to waste time as well as fuel, which contributes to pollution. Sai concludes that it is vital that people find their own parking spots as soon as they enter the parking lot.

The thing left to do is finding the gaps and then guiding the driver to the right place. Especially the False does not want to spend too much on buying, installing and maintaining expensive sensors in the ground like today's market applications.

An Assistant Professor of Computer Science - Vineetha Menon is wrong to help fulfill his plan. Menon is also the director of Big Data Analytics Lab at The University of Alabama so he has access to the high-capacity calculator that Sai needs to build and practice to apply on his model. In addition, he took data based on the parking lot given by the Federal University of Parana in Brazil.

Menon said: