Enhancement of a model for Large-scale Airline Network Planning Problems

Conference paper (2016)

Authors

Bruno F. Santos Air Transport & Operations - Aerospace Engineering
Research Group
Air Transport & Operations (Aerospace Engineering) (TU Delft)
Copyright: © 2016 K. Kölker, Bruno F. Santos, K. Lütjens
Genetic Algorithm Airline Network Planning
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Published Date

2016

Language

English

Reuse Rights

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Faculty

Aerospace Engineering

Department

Control & Operations

Research Group

Air Transport & Operations

Abstract

The main focus of this study is to solve the network planning problem based on passenger decision criteria including the preferred departure time and travel time for a real-sized airline network. For this purpose, a model of the integrated network planning problem is formulated including scheduling and aircraft rotation. The input for the model is mainly the passenger demand, passenger preferences and the setup of the fleet of one airline. Hence, the final output includes the frequency for different flight legs and a passenger flow. The optimization is conducted using a genetic algorithm combined with a local search algorithm. A use case for a medium sized fleet is presented to demonstrate the functionality of the algorithm.