Visualising the Perception of Aircraft Noise for Communities Surrounding Airports

可视化机场周边社区对飞机噪音的感知

基本信息

  • 批准号:
    2890217
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Studentship
  • 财政年份:
    2023
  • 资助国家:
    英国
  • 起止时间:
    2023 至 无数据
  • 项目状态:
    未结题

项目摘要

Rationale for the ProjectTo help stakeholders, such as airport authorities and local communities, to better understand the impact of aircraftoise and make more informed decisions. For example, airport authorities could use the visualisations to identifyreas where noise mitigation measures such as the use of metamaterials by Metasonixx are most needed and to better optimise the use of aircraft space, while local communities could use the visualisations to advocate for changes to flight paths or aircraft operations.To provide a more comprehensive understanding of the impact of aircraft noise in relation to local communities. By using additional visualisations based upon non-acoustic factors to identify where people are most impacted, the project could provide a more complete picture on the impact of aircraft noise.To raise awareness and engage the public: By creating web-based software, the project could help raise awareness of the impact of aircraft noise and engage the public in discussions about how to address the issue. Visualisations can be a powerful tool for communicating complex information in an accessible way, making it easier for the public to understand and engage with the issue.Aims and objectives:. To create a visualisation of aircraft noise that provides a more comprehensive understanding of the impact of aircraft noise to local communities than is currently available. . To research and incorporate additional metrics, such as perception, frequency, aircraft size and height, to gain a better understanding of the effects of aircraft noise . To create a WebXR application that enables the public and aviation industry to access the visualisation easily . To use machine learning techniques to improve the accuracy of the data used in the visualisation and to make it more applicable to locations without noise monitors. . To contribute to the field of aviation noise research by developing a new method for visualising and understanding the impact of aircraft noise that is accessible to a wider audience. Methodology To obtain data on aircraft noise, size, perception and frequency at multiple international airports, we will search for available datasets through various resources such as WebTrak [8]. If the available data on aircraft noise is inadequate, we may need to source additional data using noise monitors. Non-acoustic data can be obtained through research papers such as the "Soundscape Assessment of Aircraft Height and Size" Gianluca Memoli [4]. However, we will also conduct surveys and questionnaires to obtain further non-acoustic data. To process the data, we will use machine learning techniques to obtain a more precise understanding of aircraft noise levels in various locations. The information obtained through data analysis will then be utilized to generate a graphical visualisation, which will be developed as an application using either Unity or Unreal engine. This graphical visualisation will then be made available to the public and industry through a WebXR application. Expected Outcome: . A comprehensive visualisation of the impact of aircraft noise on local communities, incorporating non-acoustic factors, which can be accessed through a web application by the public and aviation industry . Improved accuracy and applicability of aircraft noise data using machine learning techniques . A new improved method for visualising and understanding the impact of aircraft noise that allows the airport authorities to maximise the use of airspace and minimise protests . A contribution to the field of aviation noise research by providing a more comprehensive understanding of the impact of aircraft noise, which can be used by stakeholders to make informed decisions.
该项目的理由是帮助机场当局和当地社区等利益攸关方更好地了解飞机制造的影响,并做出更明智的决定。例如,机场当局可以利用可视化来确定哪里最需要噪音缓解措施,如Metasonixx使用超材料,并更好地优化飞机空间的使用,而当地社区可以利用可视化来倡导改变飞行路线或飞机运营。通过使用基于非声学因素的更多可视化来确定人们受影响最大的地方,该项目可以提供关于飞机噪音影响的更完整的图景。为了提高认识并吸引公众:通过创建基于网络的软件,该项目可以帮助提高人们对飞机噪音影响的认识,并让公众参与如何解决这个问题的讨论。可视化可以是以可访问的方式交流复杂信息的强大工具,使公众更容易理解和参与问题。目的和目标:创建飞机噪音的可视化,比目前提供的更全面地了解飞机噪音对当地社区的影响。。研究和纳入其他指标,如感知、频率、飞机大小和高度,以更好地了解飞机噪音的影响。创建一个WebXR应用程序,使公众和航空业能够轻松访问可视化。使用机器学习技术来提高可视化中使用的数据的准确性,并使其更适用于没有噪声监控器的位置。。通过开发一种新的方法来可视化和理解飞机噪音的影响,使更多的受众能够接触到,从而为航空噪音研究领域做出贡献。为了获得有关多个国际机场的飞机噪音、大小、感知和频率的数据,我们将通过WebTrak等各种资源搜索可用的数据集。如果现有的飞机噪音数据不足,我们可能需要使用噪音监测器获取更多数据。非声学数据可以通过研究论文获得,例如《飞机高度和大小的声景评估》GianLuca Memoli[4]。但是,我们还将进行调查和问卷调查,以获得进一步的非声学数据。为了处理这些数据,我们将使用机器学习技术来更准确地了解不同地点的飞机噪音水平。通过数据分析获得的信息将被用来生成图形可视化,它将被开发为使用Unity或虚幻引擎的应用程序。然后,这种图形可视化将通过WebXR应用程序向公众和行业提供。预期结果:。包含非声学因素的飞机噪音对当地社区影响的全面可视化,公众和航空业可以通过网络应用程序访问。使用机器学习技术提高飞机噪音数据的准确性和适用性。一种新的改进方法,用于可视化和了解飞机噪音的影响,使机场当局能够最大限度地利用空域,最大限度地减少抗议活动。通过更全面地了解飞机噪音的影响,为航空噪音研究领域作出贡献,利益攸关方可利用这一情况作出明智的决定。

项目成果

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其他文献

吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
  • DOI:
  • 发表时间:
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  • 影响因子:
    0
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LiDAR Implementations for Autonomous Vehicle Applications
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
生命分子工学・海洋生命工学研究室
生物分子工程/海洋生物技术实验室
  • DOI:
  • 发表时间:
  • 期刊:
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    0
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吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
  • DOI:
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    0
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Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
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核燃料模拟物的现场辅助烧结
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Developing a 3D printed skin model using a Dextran - Collagen hydrogel to analyse the cellular and epigenetic effects of interleukin-17 inhibitors in
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