Forecasting Flight Delays Using Machine Learning

Hari Chandana B., Harshitha N., Anwar D., Harshitha T., Harshavardhan Reddy G.

2025

Abstract

Flight delay prediction plays a vital role in improving operational efficiency of transportation companies while achieving better customer satisfaction. Flight delays caused by weather conditions and technical difficulties and past flight disruptions result in intense schedule disruptions. This project constructs an advance prediction system which analyzes flight data together with meteorological information to forecast delays. Executive Decision Trees together with Bayesian Edge Regression together with Totally Random Forests together with Gradient Boosting Algorithm and Cat Boost Regressor together with AdaBoost Regressor together with Direct Regression and KClosest Neighbors form the set of AI computations which reach this objective. The implementation of Support Vector Machines (SVM) manages execution through alterations made to the hyperparameters. The main objective stands to refine these models since they require better predictive precision. This model aims to improve operational efficiency and enhance flight delays by delivering accurate prediction forecasts to airlines.

Paper Citation

in Harvard Style

B. H., N. H., D. A., T. H. and G. H. (2025). Forecasting Flight Delays Using Machine Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 735-743. DOI: 10.5220/0013889300004919

in Bibtex Style

@conference{icrdicct`2525,
author={Hari B. and Harshitha N. and Anwar D. and Harshitha T. and Harshavardhan G.},
title={Forecasting Flight Delays Using Machine Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={735-743},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013889300004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Forecasting Flight Delays Using Machine Learning
SN - 978-989-758-777-1
AU - B. H.
AU - N. H.
AU - D. A.
AU - T. H.
AU - G. H.
PY - 2025
SP - 735
EP - 743
DO - 10.5220/0013889300004919
PB - SciTePress