Authors:
Thibault Falque
1
;
2
;
Christophe Lecoutre
2
;
Bertrand Mazure
2
and
Romain Wallon
2
Affiliations:
1
Exakis Nelite, France
;
2
CRIL, Univ. Artois & CNRS, France
Keyword(s):
Constraint Programming, Optimization, Planning, Application.
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).