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首页> 外文期刊>Transportation Research >Air traffic assignment based on daily population mobility to reduce aircraft noise effects and fuel consumption
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Air traffic assignment based on daily population mobility to reduce aircraft noise effects and fuel consumption

机译：空中交通分配基于日常人口流动，降低飞机噪音效应和燃料消耗

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The paper first investigates the influence of daily mobility of population on evaluation of aircraft noise effects. Then, a new air traffic assignment model that considers this activity is proposed. The main objective is to reduce the number of people affected by noise via lowering as much as possible the noise exposure level La,. of individuals or groups of people who commute to the same locations during the day. It is hereby intended to reduce the noise impact upon individuals rather than to reduce the impact in particular typically densely populated areas. However, sending aircraft farther away from populated regions to reduce noise impact may increase fuel burn, thus affecting airline costs and sustainability. Therefore, a multi-objective optimization approach is utilized to obtain reasonable solutions that comply with overall air transport sustainability. The method aims at generating a set of solutions that provide proper balance between noise annoyance and fuel consumption. The reliability and applicability of the proposed method are validated through a real case study at Belgrade airport in Serbia. The investigation shows that there is a difference between the number of people annoyed (NPA) evaluated based on the census data and the NPA evaluated based on the mobility data. In addition, these numbers differ significantly across residential locations. The optimal results show that the proposed model can offer a considerable reduction in the NPA, and in some cases, it can gain up to 77%, while maintaining the same level of fuel consumption compared with the reference case.
机译：本文首先研究了人口每日流动性对飞机噪声效应的影响。然后，提出了一种考虑此活动的新空中交通分配模型。主要目的是通过尽可能降低噪声暴露水平La，减少受噪声影响的人数。在白天通勤的个人或人群的人。特此旨在减少对个体的噪音影响，而不是降低特别是浓密的人口稠密区域的影响。然而，送飞机远离人口稠密的地区，以降低噪音影响可能会增加燃料燃烧，从而影响航空公司成本和可持续性。因此，利用多目标优化方法来获得合理的解决方案，符合整体空气运输可持续性。该方法旨在产生一组解决方案，可在噪声烦恼和燃料消耗之间提供适当的平衡。通过塞尔维亚贝尔格莱德机场的真正案例研究验证了所提出的方法的可靠性和适用性。调查表明，基于人口普查数据和基于移动数据评估的NPA评估的人数之间存在困难（NPA）之间存在差异。此外，这些数字跨住宅区的差异很大。最佳结果表明，该模型可以在NPA方面提供相当大的减少，并且在某些情况下，它可以获得高达77％，同时与参考情况相比保持相同水平的燃料消耗。

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