THE CONTROL AND AUTOMATION MANAGEMENT MODEL FOR AIR TRANSPORT MONITORING USING MACHINE LEARNING

ICTACT Journal on Data Science and Machine Learning ( Volume: 4 , Issue: 1 )

Abstract

In general, aviation is an area where modern achievements of IT technologies find rapid practical implementation. Automation of airports, aircraft, aircraft maintenance, baggage and air cargo tracking has rapidly exploded into our lives and has overtaken many areas of automation. Without the availability of online booking and ticket sales, remote check-in for flights using web kiosks at airports or via the Internet, not to mention free access to flight departure and arrival information cannot imagine a reality. When there was a significant decline in air travel during the global crisis, IT technologies became a key tool for competition between airlines. In this paper, the control and automation management model was proposed for air transport monitoring using machine learning. Air transport accounts for a quarter of passenger traffic and allows bookings for charter flights through tour operators and any air carrier online. At the same time, for the convenience of users, the system is supplemented with a payment gateway.

Authors

M. Raja1, D. Loganathan2
CMR Institute of Technology, India1, HKBK College of Engineering, India2

Keywords

Aviation, Rapid, Automation, Airports, Aircraft, Maintenance, Baggage

Published By
ICTACT
Published In
ICTACT Journal on Data Science and Machine Learning
( Volume: 4 , Issue: 1 )
Date of Publication
December 2022
Pages
397 - 401
DOI

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