基于遗传-禁忌搜索算法绿色低碳停机位分配
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1.中国民航大学交通科学与工程学院;2.佳木斯东郊机场

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V351

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中国民航局安全能力基金(14002500000020J074)


Green and Low Carbon Gate Assignment Based on Genetic-Tabu Search Algorithm
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College of Transportation Science and Engineering, Civil Aviation University of China

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    摘要:

    随着环境气候问题日益严峻,绿色低碳已成为航空运输业可持续发展的重要原则。本文以单跑道运输机场为研究对象,以绿色低碳、旅客步行距离为优化目标,构建多情景下绿色低碳停机位分配模型,并设计遗传-禁忌搜索组合优化算法求解,最后以我国东北某运输机场为实例进行仿真实验。实验结果表明,与实际运行分配方案相比,若仅考虑绿色低碳,最优分配方案可减少3.1%的燃油消耗,减少3.1%的航空器滑行距离,减少4.2%HC、3.6%CO、3.1%NOX、3.1%CO2排放,但会提高5.3%的旅客步行距离;若同时兼顾绿色低碳和旅客利益,最优分配方案可减少2.1%的燃油消耗,减少2.2%的航空器滑行距离,减少3.8%HC、2.7%CO、2.0%NOX、2.1%的CO2排放,减少2.1%的旅客步行距离。可见绿色低碳发展的同时,仍可兼顾旅客利益。

    Abstract:

    With the increasingly serious problem of climate change, green and low-carbon operations have become an important principle for the sustainable development of the air transportation industry. In this study, a single-runway transportation airport was considered as the research object, and achieving green low-carbon and minimizing passenger walking distance as the research objectives. The study constructed a green low-carbon gate assignment model under multi-scenarios, designed a combined genetic-tabu search optimization algorithm, and then conducted simulation experiments in a transportation airport of northeast China. The experimental results are shown as follows. In the optimal assignment scheme, if considering green and low-carbon, the fuel consumption can be reduced by 3.1%, the taxiing distance of the aircraft by 3.1%, HC emission by 4.2%, CO emission by 3.6%, NOX emission by 3.1%, and CO2 emission by 3.1% comparatively. But passenger walking distance can be increased by 5.3% at the same time. If considering green and low-carbon as well as the interests of the passengers, the fuel consumption can be decreased by 2.1%, the taxiing distance of the aircraft by 2.2%, HC emission by 3.8%, CO emission by 2.7%, NOX emission by 2.0%, CO2 emission by 2.1%, and passenger walking distance by 2.1% comparatively. Thus, it is possible to strike a balance between green and low-carbon development and the interests of travelers.

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陈俣秀,全力炎,张立超. 基于遗传-禁忌搜索算法绿色低碳停机位分配[J]. 科学技术与工程, , ():

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  • 收稿日期:2023-10-17
  • 最后修改日期:2024-06-16
  • 录用日期:2024-06-24
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