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Air transport is a fast developing area. Airlines compete for a limited resource, namely airport capacity. The consequence is an increase in airport congestion, which generates huge delays that are enhanced due to delay propagation through the whole networ ...
This paper presents a game-theoretic model of a liberalized railway industry in which train operation and ownership of infrastructure is fully vertically separated. The objective of this paper is to analyze how the regulatory agency will socially optimal s ...
Air transport is a fast developing area. Airlines compete for a limited resource, namely airport capacity. The consequence is an increase in airport congestion, which generates huge delays that are enhanced due to delay propagation through the whole networ ...
We present a methodology to compute more efficient airline schedules that are less sensitive to delay and can be recovered at lower cost in case of severe disruptions. We modify an original schedule by flight re-timing with the intent of improving some str ...
In this thesis, we address different aspects of the airline scheduling problem. The main difficulty in this field lies in the combinatorial complexity of the problems. Furthermore, as airline schedules are often faced with perturbations called disruptions ...
Airlines schedules are built such as to maximize expected profit. Such schedules turn out to be more sensitive to delay propagation and have lower on-time performance. Robust schedules are thus used instead. In this paper, we compare two different approach ...
Air transportation in the US is increasingly faced with the problem of airport congestion: airlines tend to over-schedule to attract market share and revenue. Unfortunately, the airlines share a limited resource - airport capacity. The underlying question ...
In this paper, we present an application to the Airline Scheduling Problem (ASP) of the Uncertainty Feature Optimization (UFO) framework which combines both a proactive scheduling algorithm and a reactive recovery algorithm used for re-optimization when di ...
In this paper, we present an application to the Airline Scheduling Problem (ASP) of the Uncertainty Feature Optimization (UFO) framework which combines both a proactive scheduling algorithm and a reactive recovery algorithm used for re-optimization when di ...
Afin de combler le déficit d'habitations que Lausanne connaît actuellement, la municipalité de la ville prévoit la construction de logements sur l'emplacement de l'actuel Stade Olympique qui serait déplacé sur les bords du Lac Léman. Le projet développé da ...
