Green, Intelligent Traffic System

Research on Space-Time Taxiing Optimization of Aircraft Based on Carbon Emission

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  • 1.College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,Jiangsu,China
    2.College of General Aviation and Flight,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,Jiangsu,China
姜雨(1975-),女,博士,副教授,主要从事机场场面运行优化研究。E-mail:jiangyu07@nuaa.edu.cn

Received date: 2023-04-10

  Online published: 2023-06-21

Supported by

the National Natural Science Foundation of China(52372298)

Abstract

The aviation transportation industry is one of the largest industries of carbon emission. With the development of the aviation transportation industry and the strengthening of environmental regulations, the industry is facing enormous environmental pressure. How to reduce the carbon emissions of the air transport industry has attracted wide attention. Aircrafts taxiing in airport scene emits a lot of carbon. Therefor, optimizing aircraft taxiing is an important way to reduce aviation transportation carbon emissions. In addition, to ensure the safety and efficiency of aviation transportation, taxiing on the airport apron must also consider factors such as taxiing waiting time and taxiing conflicts. To solve this problem, this paper proposed an optimization model of space-time taxiing of aircraft considering carbon emission. By deciding the taxiing path in the upper model and the taxiing time in the lower model, the upper and lower interactive optimization minimizes the total carbon emission of aircraft taxiing, the taxiing waiting time of approach aircrafts and the conflict of aircraft taxiing. To improve the quality of the model solutions, an iterative neighborhood search algorithm based on the interaction optimization of upper and lower models was designed to solve the model and the conflict-free neighborhood operator and stochastic perturbation operator were introduced. The proposed model and algorithm were validated with actual operational data from Guangzhou Baiyun International Airport. The experimental results show that compared with the shortest taxiing strategy, the proposed model reduced the total carbon emission for 47 aircrafts by 971 kg, accounting for 1.8% of the total carbon emissions, in the planning period of one and a half hours under the condition of avoiding aircraft taxiing conflict. This research can provide a more environmentally friendly taxiing strategy while improving taxiing efficiency and safety, helping the aviation transportation industry reduce carbon emissions and achieve greater sustainability.

Cite this article

JIANG Yu, WANG Yasha, XUE Qingwen, et al . Research on Space-Time Taxiing Optimization of Aircraft Based on Carbon Emission[J]. Journal of South China University of Technology(Natural Science), 2023 , 51(10) : 152 -159 . DOI: 10.12141/j.issn.1000-565X.230220

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