A Novel Approach for Flight Delay Prediction Using AI

Authors

  • T. Vasanth Kumar Reddy  PG Scholar, Department of Computer Applications, Madanapalle Institute of Technology and Science, India
  • Dr. Srinivasan Jagannathan  Assistant Professor, Department of Computer Applications, Madanapalle Institute of Technology and Science, India
  • Mr. Suresh  Professor, Department of Computer Applications, Madanapalle Institute of Technology and Science, India

Keywords:

Decision Tree Regression, Bayesian Ridge, Random Forest Regression, and Gradient Boosting Regression.

Abstract

Predicting flight delays accurately is essential for building a more effective airline industry. Increasing client happiness is a key component of the airline company. All participants in commercial aviation must consider their prediction while making decisions. Flights are delayed and cause consumer displeasure due to inclement weather, a mechanical issue, and the delayed arrival of the aircraft at the place of departure. With the aid of weather and flight data, a predictive model for flights arriving on time is put forth. In this study, we forecast whether a specific flight's arrival will be delayed or not using machine learning models such Decision Tree Regression, Bayesian Ridge, Random Forest Regression, and Gradient Boosting Regression.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-08-30

Issue

Volume 8, Issue 4, July-August-2022

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
T. Vasanth Kumar Reddy, Dr. Srinivasan Jagannathan, Mr. Suresh, " A Novel Approach for Flight Delay Prediction Using AI" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 4, pp.266-271, July-August-2022.