客观、自动估算出租车超时时间

B. Levy, J. Legge
{"title":"客观、自动估算出租车超时时间","authors":"B. Levy, J. Legge","doi":"10.1109/ICNSURV.2008.4559197","DOIUrl":null,"url":null,"abstract":"This paper describes the methodology developed at Sensis Corporation for the automatic and objective estimation of total and excess taxi-times from Airport Surface Detection Equipment - Model X (ASDE-X) surveillance data, such that these quantities can be conditioned on the basis of runway and gate/ramp locations. For each airport in the daily summary, we report the number of arrival and departure operations, total taxi-time, excess taxi-time, percent of known aircraft types, and the percent of complete aircraft taxi trajectories. Other data columns in the daily summary include fuel burn, fuel cost, and emissions (i.e., HC, CO, NOx), reported as total and excess quantities. A daily report is automatically generated for the airports at which Sensis Corporation currently makes recordings: ATL, BDL, CLT, DTW, IAD, MCO, MEM, MKE, ORD, PVD, SDF, SEA, and STL; this list will grow as more ASDE-X systems are fielded. Estimation of excess fuel burn and cost requires data on the aircraft type and excess taxi-time. The aircraft type determines the fuel burn rate, taken from the ICAO database; the excess taxi-time depends on a complete taxi trajectory in the movement area. The percent of known fuel burn rates ranges from 85 to 94% for the current set of airports. The percent of complete trajectories ranges from 83 to 93% for taxiing in the movement area. For validation, we have undertaken comparison of operation counts from the processing of ASDE-X data with data reported in the FAA's Aviation System Performance Metrics (ASPM) database, and have found good agreement (standard error < 1 operation). Also, we have performed some comparisons of the ASDE-X total-time estimates against the reportable quantities from the on-time performance database of the Department of Transportation (DOT) Bureau of Transportation Statistics (BTS). This analysis is performed on a per-aircraft basis by matching the tail numbers and out-off-on-in (OOOI time) events between the two data sets.","PeriodicalId":201010,"journal":{"name":"2008 Integrated Communications, Navigation and Surveillance Conference","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Objective and automatic estimation of excess taxi-times\",\"authors\":\"B. Levy, J. Legge\",\"doi\":\"10.1109/ICNSURV.2008.4559197\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the methodology developed at Sensis Corporation for the automatic and objective estimation of total and excess taxi-times from Airport Surface Detection Equipment - Model X (ASDE-X) surveillance data, such that these quantities can be conditioned on the basis of runway and gate/ramp locations. For each airport in the daily summary, we report the number of arrival and departure operations, total taxi-time, excess taxi-time, percent of known aircraft types, and the percent of complete aircraft taxi trajectories. Other data columns in the daily summary include fuel burn, fuel cost, and emissions (i.e., HC, CO, NOx), reported as total and excess quantities. A daily report is automatically generated for the airports at which Sensis Corporation currently makes recordings: ATL, BDL, CLT, DTW, IAD, MCO, MEM, MKE, ORD, PVD, SDF, SEA, and STL; this list will grow as more ASDE-X systems are fielded. Estimation of excess fuel burn and cost requires data on the aircraft type and excess taxi-time. The aircraft type determines the fuel burn rate, taken from the ICAO database; the excess taxi-time depends on a complete taxi trajectory in the movement area. The percent of known fuel burn rates ranges from 85 to 94% for the current set of airports. The percent of complete trajectories ranges from 83 to 93% for taxiing in the movement area. For validation, we have undertaken comparison of operation counts from the processing of ASDE-X data with data reported in the FAA's Aviation System Performance Metrics (ASPM) database, and have found good agreement (standard error < 1 operation). Also, we have performed some comparisons of the ASDE-X total-time estimates against the reportable quantities from the on-time performance database of the Department of Transportation (DOT) Bureau of Transportation Statistics (BTS). This analysis is performed on a per-aircraft basis by matching the tail numbers and out-off-on-in (OOOI time) events between the two data sets.\",\"PeriodicalId\":201010,\"journal\":{\"name\":\"2008 Integrated Communications, Navigation and Surveillance Conference\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Integrated Communications, Navigation and Surveillance Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNSURV.2008.4559197\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Integrated Communications, Navigation and Surveillance Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNSURV.2008.4559197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

本文描述了Sensis公司开发的方法,用于从机场表面探测设备-型号X (ASDE-X)监视数据中自动和客观地估计总和超额滑行时间,这样这些数量可以根据跑道和登机口/坡道位置进行调整。对于每日摘要中的每个机场,我们报告了到达和离开操作的数量,总滑行时间,超额滑行时间,已知飞机类型的百分比,以及完整飞机滑行轨迹的百分比。每日汇总中的其他数据列包括燃料燃烧、燃料成本和排放(即HC、CO、NOx),以总量和超额数量报告。Sensis公司目前记录的机场自动生成每日报告:ATL、BDL、CLT、DTW、IAD、MCO、MEM、MKE、ORD、PVD、SDF、SEA和STL;随着越来越多的ASDE-X系统投入使用,这个列表将会增长。对燃油消耗和成本的估算需要飞机类型和滑行时间的数据。飞机类型决定燃油燃烧率,数据取自国际民航组织数据库;超额滑行时间取决于运动区域内的完整滑行轨迹。现有机场的已知燃油消耗率在85%到94%之间。运动区域内滑行轨迹完成率为83% ~ 93%。为了验证,我们将ASDE-X数据处理的操作次数与FAA航空系统性能指标(ASPM)数据库中报告的数据进行了比较,并发现了良好的一致性(标准误差< 1操作)。此外,我们还将ASDE-X的总时间估计值与美国运输部(DOT)运输统计局(BTS)的准点率数据库中的可报告数量进行了比较。该分析是在每架飞机的基础上通过匹配两个数据集之间的尾号和出勤(OOOI)时间事件来执行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Objective and automatic estimation of excess taxi-times
This paper describes the methodology developed at Sensis Corporation for the automatic and objective estimation of total and excess taxi-times from Airport Surface Detection Equipment - Model X (ASDE-X) surveillance data, such that these quantities can be conditioned on the basis of runway and gate/ramp locations. For each airport in the daily summary, we report the number of arrival and departure operations, total taxi-time, excess taxi-time, percent of known aircraft types, and the percent of complete aircraft taxi trajectories. Other data columns in the daily summary include fuel burn, fuel cost, and emissions (i.e., HC, CO, NOx), reported as total and excess quantities. A daily report is automatically generated for the airports at which Sensis Corporation currently makes recordings: ATL, BDL, CLT, DTW, IAD, MCO, MEM, MKE, ORD, PVD, SDF, SEA, and STL; this list will grow as more ASDE-X systems are fielded. Estimation of excess fuel burn and cost requires data on the aircraft type and excess taxi-time. The aircraft type determines the fuel burn rate, taken from the ICAO database; the excess taxi-time depends on a complete taxi trajectory in the movement area. The percent of known fuel burn rates ranges from 85 to 94% for the current set of airports. The percent of complete trajectories ranges from 83 to 93% for taxiing in the movement area. For validation, we have undertaken comparison of operation counts from the processing of ASDE-X data with data reported in the FAA's Aviation System Performance Metrics (ASPM) database, and have found good agreement (standard error < 1 operation). Also, we have performed some comparisons of the ASDE-X total-time estimates against the reportable quantities from the on-time performance database of the Department of Transportation (DOT) Bureau of Transportation Statistics (BTS). This analysis is performed on a per-aircraft basis by matching the tail numbers and out-off-on-in (OOOI time) events between the two data sets.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信