Flight Delay Prediction Using Machine Learning Algorithm

Authors

  • Hemadri A D School of Computing and Information technology, REVA University, India
  • Kumar Raja D R School of Computing and Information technology, REVA University, India

Keywords:

Airport congestion, Algorithm, datasets, Impact on passenger, Machine learning, Predict the causes, Risk analysis

Abstract

The current and the existing circumstances due to the traffic congestion causing flight delays these flight delays not only causing economic impact but also have harmful environment effects and degrading the passenger quality of service and fuel consumption and gas consumption the airline management had becoming the increasingly challenging to overcome this issues. By using the factors causing the airline delay we carry out the predictive analysis and machine learning algorithms to find the causes of flight delays.

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Published

2022-09-12

How to Cite

Hemadri A D, & Kumar Raja D R. (2022). Flight Delay Prediction Using Machine Learning Algorithm. International Journal of Human Computations & Intelligence, 1(2), 5–9. Retrieved from https://milestoneresearch.in/JOURNALS/index.php/IJHCI/article/view/28