Thibault Falque

dblp:339/4355 · DBLP profile ↗
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5ranked-venue papers
5as first author
5since 2021 · last 2024
0000-0003-2803-1530ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 5 first-author · 5 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Mathematical optimization · 87% Algorithmic game theory and mechanism design · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization
constraint programming
0.812024
Check-In Desk Scheduling Optimisation at CDG International Airport · AAAI 2024
Mathematical optimization
scheduling
0.812024
Check-In Desk Scheduling Optimisation at CDG International Airport · AAAI 2024
Algorithmic game theory and mechanism design
resource allocation
0.212024
Check-In Desk Scheduling Optimisation at CDG International Airport · AAAI 2024

Methods — techniques the papers use, named apart from their topics

constraint programming · 0.8
YearPublicationVenuePosition
2024 Check-In Desk Scheduling Optimisation at CDG International Airport
abstract
More than ever, air transport players (i.e., airline and airport companies) in an intensely competitive climate need to benefit from a carefully optimized management of airport resources to improve the quality of service and control the induced costs. In this paper, we investigate the Airport Check-in Desk Assignment Problem. We propose a Constraint Programming (CP) model for this problem, and present some promising experimental results from data coming from ADP (Aéroport de Paris). Our works are deployed in a preprod environment since 1 year.
Thibault Falque, Gilles Audemard, Christophe Lecoutre, Bertrand Mazure
AAAI1
2024 Parking Scheduling Optimisation at Paris Charles de Gaulle International Airport
Thibault Falque, Christophe Lecoutre, Bertrand Mazure, Romain Wallon
ICAART (3)1
2024 A Toolset for Constraint Programming
Thibault Falque, Romain Wallon
ICAART (3)1
2024 Machine learning for predicting off-block delays: A case study at Paris - Charles de Gaulle International Airport
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 improve the management of delays and reduce the impact of the resulting consequences.
Thibault Falque, Bertrand Mazure, Karim Tabia
Data Knowl. Eng.1
2023 Predicting Off-Block Delays: A Case Study at Paris - Charles de Gaulle International Airport
abstract
International audience
Thibault Falque, Bertrand Mazure, Karim Tabia
ICAART (2)1