Real-time predictive modeling of flight delays using distributed systems and machine learning
Year: 2025
Type: article
Abstract: This study presents a real-time system for flight delay prediction using distributed systems and machine learning. By integrating flight data from ADS-B signals, METARs, and TAF weather reports, the system processes the data streams via a reactive architecture. The applied predictive models, including random forests and linear regression, were validated and evaluated for their accuracy and scalability. The developed system offers a practical solution for improving decision-making in air traffic management.
Source: IFAC-PapersOnLine
Authors: Z. Kowalczuk, J. Wszołek, J. Okuniewska
Institution: Gdańsk University of Technology
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4412967736