Multi-Level and Multi-Objective Design Methodology of Taxiways for Large Airports
In this paper, the authors propose a method to expand taxiways at large airports that shortens taxiing time and reduces costs. To ease congestion at airports, expanding taxiways is needed. But the exorbitant cost of expansion dictates the discreet selection of expanded taxiways. Determining expanded taxiways is a multilevel and multi-objective optimization problem containing 1-0 integer problem and routing problem. However, little research on this topic is available. In this paper, the authors propose an algorithm to calculate Pareto solutions applying a Multi-Objective Genetic Algorithm (MOGA) and Ant Colony Optimization (ACO). The proposed method is twice as accurate as other methods, and solutions calculated by proposed method are available when flight schedules are disturbed
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- Summary URL:
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Authors:
- YAHAGI, Hiroyuki
- KARIYA, Yusuke
- TAKEHISA, Masato
- HARA, Tatsunori
- OTA, Jun
- Publication Date: 2012
Language
- English
- Japanese
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 1-14
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Serial:
- Journal of Mechanical Systems for Transportation and Logistics
- Volume: 6
- Issue Number: 1
- Publisher: Japan Society of Mechanical Engineers
- EISSN: 1882-1782
- Serial URL: https://www.jstage.jst.go.jp/browse/jmtl
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Airports; Design of specific facilities; Genetic algorithms; Optimization; Taxiways
- Uncontrolled Terms: Ant colony optimization
- Subject Areas: Aviation; Design; Planning and Forecasting; Terminals and Facilities; I20: Design and Planning of Transport Infrastructure;
Filing Info
- Accession Number: 01505024
- Record Type: Publication
- Source Agency: Japan Science and Technology Agency (JST)
- Files: TRIS, JSTAGE
- Created Date: Jan 27 2014 10:45AM