Parking Scheduling Optimisation at Paris Charles de Gaulle International Airport

Thibault Falque, Thibault Falque, Christophe Lecoutre, Bertrand Mazure, Romain Wallon

2024

Abstract

Before the COVID-19 health crisis, the International Air Transport Association (IATA) forecasted that air passengers would almost double by 2036, reaching 7.8 billion people. More than ever, air transport players such as airline and airport companies, in a strongly competitive climate, need to benefit from a carefully optimized management of the airport resources in order to improve the quality of services and to control the induced costs. For example, the allocation of parking spaces for landing aircrafts remains a central issue at the airports, while optimizing an economic function determined by some business rules. In this paper, we investigate the Airport Parking Assignment Problem (APAP) with a Constraint Programming (CP) approach. We introduce a CP model, under the form of a Constraint Optimization Problem, and present some promising preliminary experimental results from data coming from ADP (Aeroports de Paris).

Paper Citation

in Harvard Style

Falque T., Lecoutre C., Mazure B. and Wallon R. (2024). Parking Scheduling Optimisation at Paris Charles de Gaulle International Airport. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4, SciTePress, pages 1119-1126. DOI: 10.5220/0012437800003636

in Bibtex Style

@conference{icaart24,
author={Thibault Falque and Christophe Lecoutre and Bertrand Mazure and Romain Wallon},
title={Parking Scheduling Optimisation at Paris Charles de Gaulle International Airport},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={1119-1126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012437800003636},
isbn={978-989-758-680-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Parking Scheduling Optimisation at Paris Charles de Gaulle International Airport
SN - 978-989-758-680-4
AU - Falque T.
AU - Lecoutre C.
AU - Mazure B.
AU - Wallon R.
PY - 2024
SP - 1119
EP - 1126
DO - 10.5220/0012437800003636
PB - SciTePress