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

K. Kölker; Bruno Lopes dos Santos; K. Lütjens

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

K. Kölker, Bruno Lopes dos Santos, K. Lütjens

Air Transport & Operations

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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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.

Original language	English
Title of host publication	20th ATRS World Conference
Subtitle of host publication	Rhodes, Greece
Number of pages	19
Publication status	Published - 2016
Event	20th ATRS World Conference - Air Transport New, Rhodes, Greece Duration: 23 Jun 2016 → 26 Jun 2016 Conference number: 20 https://atn.aero/atrs2016.pl

Conference

Conference	20th ATRS World Conference
Country/Territory	Greece
City	Rhodes
Period	23/06/16 → 26/06/16
Internet address	https://atn.aero/atrs2016.pl

Keywords

Airline Network Planning
Genetic Algorithm

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title = "Enhancement of a model for Large-scale Airline Network Planning Problems",

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.",

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AU - Kölker, K.

AU - Lopes dos Santos, Bruno

AU - Lütjens, K.

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PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Airline Network Planning

KW - Genetic Algorithm

UR - http://resolver.tudelft.nl/uuid:99cd3ad2-0c05-4166-a325-ec318810a681

M3 - Conference contribution

BT - 20th ATRS World Conference

T2 - 20th ATRS World Conference

Y2 - 23 June 2016 through 26 June 2016

ER -

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

Abstract

Conference

Keywords

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