An Integrated Scheduling Method for Airport Special Vehicles Based on Multi-Objective Optimization
Airport ground support services are crucial for airport operations and flight punctuality, with integrated scheduling of special vehicles being a particularly vital component. To address issues regarding inefficiency and high costs in the scheduling process, a multi-objective optimizing model is proposed, considering factors such as energy consumption, efficiency, safety, and passenger satisfaction. The model is solved using an improved genetic algorithm (IGA), which enhances both population initialization and the evolutionary process compared to the standard genetic algorithm (SGA). Then, simulations are conducted with actual airport data to compare various scheduling algorithms. The results show that compared with SGA, the IGA-based method performs better in reducing scheduling costs, energy consumption, and flight delays by 15.03%, 28.52%, and 12.50%. Such improvement is 24.57%, 36.60%, and 7.34% compared to multi-objective genetic algorithm (MOGA). It means that the suggested scheduling approach effectively reduces costs and enhances efficiency, providing practical guidance for airport ground operations.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784485484
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Supplemental Notes:
- © 2024 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Jiang, Han
- Zhang, Jian
- Qi, Xinyue
- Feng, Zhanyu
- Zhang, Haiyan
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Conference:
- 24th COTA International Conference of Transportation Professionals
- Location: Shenzhen , China
- Date: 2024-7-23 to 2024-7-26
- Publication Date: 2024
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1596-1607
- Monograph Title: CICTP 2024: Resilient, Intelligent, Connected, and Low-Carbon Multimodal Transportation
Subject/Index Terms
- TRT Terms: Airport ground transportation; Airport operations; Optimization; Schedules and scheduling; Special purpose vehicles
- Subject Areas: Aviation; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01940707
- Record Type: Publication
- ISBN: 9780784485484
- Files: TRIS, ASCE
- Created Date: Dec 23 2024 10:37AM