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Aircraft Taxi Path Optimization Considering Environmental Impacts Based on a Bilevel Spatial–Temporal Optimization Model

Author

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  • Yuxiu Chen

    (Research Center for Environment and Sustainable Development of the China Civil Aviation, Tianjin 300300, China
    College of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China)

  • Liyan Quan

    (Research Center for Environment and Sustainable Development of the China Civil Aviation, Tianjin 300300, China
    College of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China)

  • Jian Yu

    (Civil Aviation Management Institute of China, Beijing 100102, China)

Abstract

Aircraft taxiing emissions are the main source of carbon dioxide and other pollutant gas emissions during airport ground operations. It is crucial to optimize aircraft taxiing from both spatial and temporal perspectives to improve airport operation efficiency and reduce aviation emissions. In this paper, a bilevel spatial and temporal optimization model of aircraft taxiing is constructed. The upper-level model optimizes the aircraft taxiing path, and the lower-level model optimizes the taxiing start time of the aircraft. By the iterative optimization of the upper- and lower-level interactions, the aviation fuel consumption, flight waiting time, and number of taxiing conflicts are reduced. To improve the calculation accuracy, the depth-first search algorithm is utilized to generate the set of available paths for aircraft during the model solution process, and a model solution method based on the genetic algorithm is constructed. Simulation experiments using Tianjin Binhai International Airport as the research object show that adopting the waiting taxiing strategy can effectively avoid taxiing conflicts and reduce aviation fuel consumption by 753.18 kg and 188.84 kg compared to the available path sets generated using Dijkstra’s algorithm and those created manually based on experience, respectively. Conversely, adopting an immediate taxi-out strategy caused 54 taxiing conflicts and increased aviation fuel consumption by 49.44 kg. These results can provide safe and environmentally friendly taxiing strategies for the sustainable development of the air transportation industry.

Suggested Citation

  • Yuxiu Chen & Liyan Quan & Jian Yu, 2024. "Aircraft Taxi Path Optimization Considering Environmental Impacts Based on a Bilevel Spatial–Temporal Optimization Model," Energies, MDPI, vol. 17(11), pages 1-18, June.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2692-:d:1407162
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    References listed on IDEAS

    as
    1. Cao, Feng & Tang, Tie-Qiao & Gao, Yunqi & You, Feng & Zhang, Jian, 2023. "Calculation and analysis of new taxiing methods on aircraft fuel consumption and pollutant emissions," Energy, Elsevier, vol. 277(C).
    2. Nan Li & Yu Sun & Jian Yu & Jian-Cheng Li & Hong-fei Zhang & Sangbing Tsai, 2019. "An Empirical Study on Low Emission Taxiing Path Optimization of Aircrafts on Airport Surfaces from the Perspective of Reducing Carbon Emissions," Energies, MDPI, vol. 12(9), pages 1-19, April.
    3. Yixuan Shan & Yuwei Shao & Qi Yuan & Yu Jiang, 2023. "Multiobjective Gate Assignment Model Considering Carbon Emissions," IJERPH, MDPI, vol. 20(5), pages 1-12, February.
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