01337574

Component

https://doi.org/10.3141/2214-07

http://scholar.google.com...aolo&publication_year=2011

To cope with increasing customer demand and market changes, airline companies need to organize and manage their route networks in a more cost-efficient way. In addition, the robustness of flight operations against unpredictable accidents such as terrorist attacks and natural disasters has become more important to airlines. In this study, the concepts and techniques from complex network theory are used to model airline route networks, and then an effective and efficient genetic algorithm is developed to optimize airline route networks in terms of network properties that may have crucial roles to play in improving the cost-effectiveness and reliability of airspace systems. The simulation results illustrate that the work reported in this study has a good potential to improve the topology of airline route networks in terms of given network properties such as operating costs and network robustness.

01351429

11-0896

English

pp 50-58

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309167284

Print

Figures; Maps; References (18) ; Tables (1)

Air routes; Aircraft operations; Airlines; Airspace utilization; Cost effectiveness; Genetic algorithms; Operating costs; Optimization; Topology

Network models; Network reliability

Aviation; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 17 2011 5:37PM

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• Impacts and Responses of Icelandic Aviation to the 2010 Eyjafjallajökull Volcanic Eruption: Case Study
• Measuring Quality of Service in Airport Passenger Terminals
• Modeling and Forecasting Passenger Demand for a New Domestic Airport with Limited Data
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• Using Smeed’s Law to Estimate Number of Bird Strikes in Utah