Predicting Off-Block Delays: A Case Study at Paris - Charles de Gaulle International Airport

Thibault Falque; Thibault Falque; Bertrand Mazure; Karim Tabia

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Paper

Predicting Off-Block Delays: A Case Study at Paris - Charles de Gaulle International Airport

Topics: Industrial Applications of AI; Machine Learning

In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 180-189, 2023 , Lisbon, Portugal

Authors: Thibault Falque ^{1

;

2} ; Bertrand Mazure ² and Karim Tabia ²

Affiliations: ¹ Exakis Nelite, Paris, France ; ² CRIL, Université d’Artois and CNRS, Lens, France

Keyword(s): Machine Learning, Application, Real Time Delay.

Abstract: Punctuality is a sensitive issue in large airports and hubs for passenger experience and for controlling operational costs. This paper presents a real and challenging problem of predicting and explaining flight off-block delays. We study the case of the international airport Paris Charles de Gaulle (Paris-CDG) starting from the specificities of this problem at Paris-CDG until the proposal of modelings then solutions and the analysis of the results on real data covering an entire year of activity. The proof of concept provided in this paper allows us to believe that the proposed approach could help improving the management of delays and reduce the impact of the resulting consequences.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Falque, T., Mazure, B. and Tabia, K. (2023). Predicting Off-Block Delays: A Case Study at Paris - Charles de Gaulle International Airport. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-623-1; ISSN 2184-433X, SciTePress, pages 180-189. DOI: 10.5220/0011668200003393

@conference{icaart23,
author={Thibault Falque and Bertrand Mazure and Karim Tabia},
title={Predicting Off-Block Delays: A Case Study at Paris - Charles de Gaulle International Airport},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2023},
pages={180-189},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011668200003393},
isbn={978-989-758-623-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Predicting Off-Block Delays: A Case Study at Paris - Charles de Gaulle International Airport
SN - 978-989-758-623-1
IS - 2184-433X
AU - Falque, T.
AU - Mazure, B.
AU - Tabia, K.
PY - 2023
SP - 180
EP - 189
DO - 10.5220/0011668200003393
PB - SciTePress