This paper is published in Volume-6, Issue-3, 2020
Area
Information Technology
Author
Prachi Dhariwal, Preeti Verma, Anusha Ramachandran, Parul Yadav
Org/Univ
Bharati Vidyapeeth College of Engineering, New Delhi, Delhi, India
Pub. Date
30 June, 2020
Paper ID
V6I3-1516
Publisher
Keywords
Air Traffic Control (ATC), Air Traffic Management (ATM), Hadoop, Hadoop Distributed File System (HDFS)

Citationsacebook

IEEE
Prachi Dhariwal, Preeti Verma, Anusha Ramachandran, Parul Yadav. Air traffic Control of US domestic flights, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Prachi Dhariwal, Preeti Verma, Anusha Ramachandran, Parul Yadav (2020). Air traffic Control of US domestic flights. International Journal of Advance Research, Ideas and Innovations in Technology, 6(3) www.IJARIIT.com.

MLA
Prachi Dhariwal, Preeti Verma, Anusha Ramachandran, Parul Yadav. "Air traffic Control of US domestic flights." International Journal of Advance Research, Ideas and Innovations in Technology 6.3 (2020). www.IJARIIT.com.

Abstract

With the increase in data and especially air traffic data, it is increasingly becoming difficult to handle the same. It is important not just to handle the data to get the necessary output, but also to maintain the integrity of the data. Hadoop is a framework that we have used as it provides reliable services for the data in concern. MapReduce can be used to provide apt management of a large amounts of data and it can be used as a filter to generate useful insights. Machine Learning on the other hand is used for the recommendation portion of the project. Machine Learning helps in identifying the patterns in the data which might not be visible to the naked eye. It then is used to make useful predictions and correct recommendations based on the data in consideration.