建立到达操作复杂度与性能之间的关系

IF 0.8 4区工程技术 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY

Promet-Traffic & Transportation Pub Date : 2022-12-02 DOI:10.7307/ptt.v34i6.4137

Junfeng Zhang, Tong Xiang, Ming Zhou, Bin Wang

{"title":"建立到达操作复杂度与性能之间的关系","authors":"Junfeng Zhang, Tong Xiang, Ming Zhou, Bin Wang","doi":"10.7307/ptt.v34i6.4137","DOIUrl":null,"url":null,"abstract":"Air traffic complexity indicators play an essential role in measuring operational performance and controller workload. However, current studies mainly depend on the manual scoring method to scale performance or workload. This paper focuses on arrival operations and presents a data-driven strategy to establish the correlation between complexity and performance to avoid the subjectivity of the currently used manual scoring method. Firstly, we present twenty-six indicators for describing air traffic complexity and two indicators for arrival operational performance. Secondly, the clustering method distinguishes peak and off-peak situations for arrival operation. Moreover, clustering results are compared to investigate the correlation between complexity and performance initially. Thirdly, the classification method is adopted to determine such correlation further. In addition, we also identify the affecting factors which could influence operational performance. Finally, trajectories of arrival aircraft landing at Guangzhou Baiyun International Airport (ZGGG) are used for case validation. The results indicate that there is a strong correlation between complexity and performance. The accuracy and precision of classification are approximately 90%. Furthermore, the number of aircraft significantly impacts the arrival operational performance within TMA.","PeriodicalId":54546,"journal":{"name":"Promet-Traffic & Transportation","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Establishing the Correlation Between Complexity and Performance for Arrival Operations\",\"authors\":\"Junfeng Zhang, Tong Xiang, Ming Zhou, Bin Wang\",\"doi\":\"10.7307/ptt.v34i6.4137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Air traffic complexity indicators play an essential role in measuring operational performance and controller workload. However, current studies mainly depend on the manual scoring method to scale performance or workload. This paper focuses on arrival operations and presents a data-driven strategy to establish the correlation between complexity and performance to avoid the subjectivity of the currently used manual scoring method. Firstly, we present twenty-six indicators for describing air traffic complexity and two indicators for arrival operational performance. Secondly, the clustering method distinguishes peak and off-peak situations for arrival operation. Moreover, clustering results are compared to investigate the correlation between complexity and performance initially. Thirdly, the classification method is adopted to determine such correlation further. In addition, we also identify the affecting factors which could influence operational performance. Finally, trajectories of arrival aircraft landing at Guangzhou Baiyun International Airport (ZGGG) are used for case validation. The results indicate that there is a strong correlation between complexity and performance. The accuracy and precision of classification are approximately 90%. Furthermore, the number of aircraft significantly impacts the arrival operational performance within TMA.\",\"PeriodicalId\":54546,\"journal\":{\"name\":\"Promet-Traffic & Transportation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2022-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Promet-Traffic & Transportation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.7307/ptt.v34i6.4137\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TRANSPORTATION SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Promet-Traffic & Transportation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.7307/ptt.v34i6.4137","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}

引用次数: 0

摘要

空中交通复杂性指标在衡量运营绩效和管制员工作量方面发挥着重要作用。然而，目前的研究主要依赖于手动评分方法来衡量性能或工作负载。本文以到达操作为研究对象，提出了一种数据驱动的策略来建立复杂性与性能之间的相关性，以避免目前使用的人工评分方法的主观性。首先，我们提出了描述空中交通复杂性的26个指标和描述到达运营绩效的2个指标。其次，采用聚类方法区分到达运行的高峰和低谷情况。此外，对聚类结果进行了比较，初步探讨了复杂度与性能之间的相关性。再次，采用分类方法进一步确定这种相关性。此外，我们还确定了可能影响运营绩效的影响因素。最后，利用广州白云国际机场(ZGGG)进场飞机的着陆轨迹进行了案例验证。结果表明，复杂性与性能之间存在很强的相关性。分类的准确度和精密度约为90%。此外，飞机数量对TMA内的到达作业性能有显著影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Establishing the Correlation Between Complexity and Performance for Arrival Operations

Air traffic complexity indicators play an essential role in measuring operational performance and controller workload. However, current studies mainly depend on the manual scoring method to scale performance or workload. This paper focuses on arrival operations and presents a data-driven strategy to establish the correlation between complexity and performance to avoid the subjectivity of the currently used manual scoring method. Firstly, we present twenty-six indicators for describing air traffic complexity and two indicators for arrival operational performance. Secondly, the clustering method distinguishes peak and off-peak situations for arrival operation. Moreover, clustering results are compared to investigate the correlation between complexity and performance initially. Thirdly, the classification method is adopted to determine such correlation further. In addition, we also identify the affecting factors which could influence operational performance. Finally, trajectories of arrival aircraft landing at Guangzhou Baiyun International Airport (ZGGG) are used for case validation. The results indicate that there is a strong correlation between complexity and performance. The accuracy and precision of classification are approximately 90%. Furthermore, the number of aircraft significantly impacts the arrival operational performance within TMA.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Promet-Traffic & Transportation 工程技术-运输科技

CiteScore

1.90

自引率

20.00%

发文量

审稿时长

3 months

期刊介绍： This scientific journal publishes scientific papers in the area of technical sciences, field of transport and traffic technology. The basic guidelines of the journal, which support the mission - promotion of transport science, are: relevancy of published papers and reviewer competency, established identity in the print and publishing profile, as well as other formal and informal details. The journal organisation consists of the Editorial Board, Editors, Reviewer Selection Committee and the Scientific Advisory Committee. The received papers are subject to peer review in accordance with the recommendations for international scientific journals. The papers published in the journal are placed in sections which explain their focus in more detail. The sections are: transportation economy, information and communication technology, intelligent transport systems, human-transport interaction, intermodal transport, education in traffic and transport, traffic planning, traffic and environment (ecology), traffic on motorways, traffic in the cities, transport and sustainable development, traffic and space, traffic infrastructure, traffic policy, transport engineering, transport law, safety and security in traffic, transport logistics, transport technology, transport telematics, internal transport, traffic management, science in traffic and transport, traffic engineering, transport in emergency situations, swarm intelligence in transportation engineering. The Journal also publishes information not subject to review, and classified under the following headings: book and other reviews, symposia, conferences and exhibitions, scientific cooperation, anniversaries, portraits, bibliographies, publisher information, news, etc.