EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
3627. Airport Slot Allocation for Maximal Destination Coverage
Invited abstract in session MC-55: Airline Applications I, stream Transportation.
Monday, 12:30-14:00Room: S02 (building: 101)
Authors (first author is the speaker)
| 1. | Christian Truden
|
| Department of Operations, Energy, and Environmental Management, University of Klagenfurt | |
| 2. | Margaretha Gansterer
|
| University of Klagenfurt |
Abstract
Due to the escalating congestion at airports, there has been a growing interest in using optimization methods for airport slot allocation and flight scheduling. Level 2 and 3 airports nowadays have a substantial surplus of demand relative to airport capacity, which requires sophisticated slot allocation. This process is not only a computationally complex task but needs to satisfy the requirements of different players following individual objectives. The resulting allocation of slots and subsequent flight schedules significantly impacts the market power of airlines. From the passengers' perspective, the key consideration is connectivity, emphasizing the importance of viable connections between destinations. We propose an innovative slot allocation model that prioritizes destination coverage while considering limitations on market power for participating airlines. Based on an extensive computational study, we elaborate on how varying degrees of market power restrictions can positively or negatively influence connectivity.
Keywords
- Combinatorial Optimization
- Transportation
- Airline Applications
Status: accepted
Back to the list of papers