The Office of Environment and Energy in the FAA faces a fundamental challenge: How can it organize its efforts to fulfill existing, internal FAA goals and priorities while simultaneously serving as a catalyst to help re-align the efforts of all the stakeholders associated with aviation and the environment? The Office, known as AEE (for Aviation Env
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Cutcher-Gershenfeld, J., Barrett, B., & Hartband, D. (2006). Enabling the Internal Organization to Support Lateral Alignment Across Stakeholders: A Case Study of the Office of Environment and Energy, Federal Aviation Administration (Report No. PARTNER-COE-2006-005). Partnership for Air Transportation Noise and Emissions Reduction. https://rosap.ntl.bts.gov/view/dot/66429
Cutcher-Gershenfeld, Joel, Betty Barrett, and David Hartband. Enabling the Internal Organization to Support Lateral Alignment Across Stakeholders: A Case Study of the Office of Environment and Energy, Federal Aviation Administration. Report no. PARTNER-COE-2006-005. Partnership for Air Transportation Noise and Emissions Reduction, 2006. https://rosap.ntl.bts.gov/view/dot/66429.
Cutcher-Gershenfeld, Joel, et al. Enabling the Internal Organization to Support Lateral Alignment Across Stakeholders: A Case Study of the Office of Environment and Energy, Federal Aviation Administration. Partnership for Air Transportation Noise and Emissions Reduction, 2006, Report no. PARTNER-COE-2006-005, ROSA P. https://rosap.ntl.bts.gov/view/dot/66429.
United States. Department of Transportation. Federal Aviation Administration
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2006-08-01
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To assure consistency in agency planning, the Office of Aviation Policy and Plans provides an extension of its annual 12-year forecasts of aviation demand. Although forecast values are shown for specific years, year-to-year fluctuations are difficult to forecast precisely. Therefore, the projections reflect the trend of average conditions expected
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United States. Department of Transportation. Federal Aviation Administration, & United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans (2006). FAA Long-Range Aerospace Forecasts: Fiscal Years 2020, 2025 and 2030 [August 2006] (Report No. FAA-APO-06-3). United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/58482
United States. Department of Transportation. Federal Aviation Administration and United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans. FAA Long-Range Aerospace Forecasts: Fiscal Years 2020, 2025 and 2030 [August 2006]. Report no. FAA-APO-06-3. United States. Department of Transportation. Federal Aviation Administration, 2006. https://rosap.ntl.bts.gov/view/dot/58482.
United States. Department of Transportation. Federal Aviation Administration, et al. FAA Long-Range Aerospace Forecasts: Fiscal Years 2020, 2025 and 2030 [August 2006]. United States. Department of Transportation. Federal Aviation Administration, 2006, Report no. FAA-APO-06-3, ROSA P. https://rosap.ntl.bts.gov/view/dot/58482.
The Federal Aviation Administration's Office of Environment and Energy (FAA-AEE) is developing a comprehensive suite of software tools that will allow for thorough assessment of the environmental effects of aviation. The main goal of the effort is to develop a new capability to assess the interdependencies between aviation-related noise and emissio
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Waitz, I., Lukachko, S., Willcox, K., Belobaba, P., Garcia, E., Hollingsworth, P., Mavris, D., Harback, K., Morser, F., & Steinbach, M. (2006). Architecture Study for the Aviation Environmental Portfolio Management Tool (Report No. PARTNER-COE-2006-002). Partnership for Air Transportation Noise and Emissions Reduction. https://rosap.ntl.bts.gov/view/dot/66426
Waitz, Ian, Stephen Lukachko, Karen Willcox, Peter Belobaba, Elena Garcia, Peter Hollingsworth, Dimitri Mavris, Kate Harback, Fred Morser, and Michele Steinbach. Architecture Study for the Aviation Environmental Portfolio Management Tool. Report no. PARTNER-COE-2006-002. Partnership for Air Transportation Noise and Emissions Reduction, 2006. https://rosap.ntl.bts.gov/view/dot/66426.
Waitz, Ian, et al. Architecture Study for the Aviation Environmental Portfolio Management Tool. Partnership for Air Transportation Noise and Emissions Reduction, 2006, Report no. PARTNER-COE-2006-002, ROSA P. https://rosap.ntl.bts.gov/view/dot/66426.
The Federal Aviation Administration's Office of Environment and Energy (FAA-AEE) is developing a comprehensive suite of software tools that will allow for thorough assessment of the environmental effects of aviation. The main goal of the effort is to develop a new capability to assess the interdependencies between aviation-related noise and emissio
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Waitz, I., Lukachko, S., Go, Y., Hollingsworth, P., Harback, K., & Morser, F. (2006). Requirements Document for the Aviation Environmental Portfolio Management Tool (Report No. PARTNER-COE-2006-001). Partnership for Air Transportation Noise and Emissions Reduction. https://rosap.ntl.bts.gov/view/dot/66428
Waitz, Ian, Stephen Lukachko, Yongki Go, Peter Hollingsworth, Kate Harback, and Fred Morser. Requirements Document for the Aviation Environmental Portfolio Management Tool. Report no. PARTNER-COE-2006-001. Partnership for Air Transportation Noise and Emissions Reduction, 2006. https://rosap.ntl.bts.gov/view/dot/66428.
Waitz, Ian, et al. Requirements Document for the Aviation Environmental Portfolio Management Tool. Partnership for Air Transportation Noise and Emissions Reduction, 2006, Report no. PARTNER-COE-2006-001, ROSA P. https://rosap.ntl.bts.gov/view/dot/66428.
The Federal Aviation Administration's Office of Environment and Energy (FAA-AEE) is developing a comprehensive suite of software tools that will allow for thorough assessment of the environmental effects of aviation. The main goal of the effort is to develop a new capability to assess the interdependencies between aviation-related noise and emissio
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Waitz, I., Lukachko, S., Willcox, K., Garcia, E., Hollingsworth, P., Pfaender, H., Mavris, D., Harback, K., Morser, F., Steinback, M., Grandi, F., Hancox, R., Lowe, S., Edmondson, D., Troll, N., Baarse, G., & van Velzen, A. (2006). Prototype Work Plan for the Aviation Environmental Portfolio Management Tool (Report No. PARTNER-COE-2006-003). Partnership for Air Transportation Noise and Emissions Reduction. https://rosap.ntl.bts.gov/view/dot/66427
Waitz, Ian, Stephen Lukachko, Karen Willcox, Elena Garcia, Peter Hollingsworth, Holge Pfaender, and Dimitri Mavris, et al.. Prototype Work Plan for the Aviation Environmental Portfolio Management Tool. Report no. PARTNER-COE-2006-003. Partnership for Air Transportation Noise and Emissions Reduction, 2006. https://rosap.ntl.bts.gov/view/dot/66427.
Waitz, Ian, et al. Prototype Work Plan for the Aviation Environmental Portfolio Management Tool. Partnership for Air Transportation Noise and Emissions Reduction, 2006, Report no. PARTNER-COE-2006-003, ROSA P. https://rosap.ntl.bts.gov/view/dot/66427.
United States. Department of Transportation. Federal Aviation Administration
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2006-01-01
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PDF
The FAA Aerospace Forecasts are developed to support budget and planning needs of the FAA. The forecasts are developed using statistical models to explain and incorporate emerging trends of the different segments of the aviation industry.
United States. Department of Transportation. Federal Aviation Administration, & United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans (2006). FAA Aerospace Forecasts: Fiscal Years 2006-2017. United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/58190
United States. Department of Transportation. Federal Aviation Administration and United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans. FAA Aerospace Forecasts: Fiscal Years 2006-2017. United States. Department of Transportation. Federal Aviation Administration, 2006. https://rosap.ntl.bts.gov/view/dot/58190.
United States. Department of Transportation. Federal Aviation Administration, et al. FAA Aerospace Forecasts: Fiscal Years 2006-2017. United States. Department of Transportation. Federal Aviation Administration, 2006, ROSA P. https://rosap.ntl.bts.gov/view/dot/58190.
United States. Department of Transportation. Federal Aviation Administration
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2005-07-01
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PDF
To assure consistency in agency planning, the Office of Aviation Policy and Plans provides an extension of its annual 12-year forecasts of aviation demand. Although forecast values are shown for specific years, year-to-year fluctuations are difficult to forecast precisely. Therefore, the projections reflect the trend of average conditions expected
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United States. Department of Transportation. Federal Aviation Administration, & United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans (2005). FAA Long-Range Aerospace Forecasts: Fiscal Years 2020, 2025 and 2030 [July 2004] (Report No. FAA-APO-05-3). United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/58481
United States. Department of Transportation. Federal Aviation Administration and United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans. FAA Long-Range Aerospace Forecasts: Fiscal Years 2020, 2025 and 2030 [July 2004]. Report no. FAA-APO-05-3. United States. Department of Transportation. Federal Aviation Administration, 2005. https://rosap.ntl.bts.gov/view/dot/58481.
United States. Department of Transportation. Federal Aviation Administration, et al. FAA Long-Range Aerospace Forecasts: Fiscal Years 2020, 2025 and 2030 [July 2004]. United States. Department of Transportation. Federal Aviation Administration, 2005, Report no. FAA-APO-05-3, ROSA P. https://rosap.ntl.bts.gov/view/dot/58481.
United States. Department of Transportation. Federal Aviation Administration
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2005-01-01
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PDF
The FAA Aerospace Forecasts are developed to support budget and planning needs of the FAA. The forecasts are developed using statistical models to explain and incorporate emerging trends of the different segments of the aviation industry.
United States. Department of Transportation. Federal Aviation Administration, & United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans (2005). FAA Aerospace Forecasts: Fiscal Years 2005-2016. United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/58475
United States. Department of Transportation. Federal Aviation Administration and United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans. FAA Aerospace Forecasts: Fiscal Years 2005-2016. United States. Department of Transportation. Federal Aviation Administration, 2005. https://rosap.ntl.bts.gov/view/dot/58475.
United States. Department of Transportation. Federal Aviation Administration, et al. FAA Aerospace Forecasts: Fiscal Years 2005-2016. United States. Department of Transportation. Federal Aviation Administration, 2005, ROSA P. https://rosap.ntl.bts.gov/view/dot/58475.
This report discusses the results of a study mandated by the U.S. Congress in 2003 to examine and mitigate the environmental impacts of aircraft noise and exhaust gases; and to increase the fuel efficiency of aircraft. The report is divided into six sections, which present the relationship between the environment and aviation, and provide recommend
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Waitz, I., Townsend, J., Cutcher-Gershenfeld, J., Greitzer, E., & Kerrebrock, J. (2004). Aviation and the Environment: A National Vision Statement, Framework for Goals and Recommended Actions. Partnership for Air Transportation Noise and Emissions Reduction. https://rosap.ntl.bts.gov/view/dot/66424
Waitz, Ian, Jessica Townsend, Joel Cutcher-Gershenfeld, Edward Greitzer, and Jack Kerrebrock. Aviation and the Environment: A National Vision Statement, Framework for Goals and Recommended Actions. Partnership for Air Transportation Noise and Emissions Reduction, 2004. https://rosap.ntl.bts.gov/view/dot/66424.
Waitz, Ian, et al. Aviation and the Environment: A National Vision Statement, Framework for Goals and Recommended Actions. Partnership for Air Transportation Noise and Emissions Reduction, 2004, ROSA P. https://rosap.ntl.bts.gov/view/dot/66424.
United States. Department of Transportation. Federal Aviation Administration
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2004-07-01
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PDF
To assure consistency in agency planning, the Office of Aviation Policy and Plans provides an extension of its annual 12-year forecasts of aviation demand. Although forecast values are shown for specific years, year-to-year fluctuations are difficult to forecast precisely. Therefore, the projections reflect the trend of average conditions expected
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United States. Department of Transportation. Federal Aviation Administration, & United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans (2004). FAA Long-Range Aerospace Forecasts: Fiscal Years 2020, 2025 and 2030 [July 2004] (Report No. FAA-APO-04-3). United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/58480
United States. Department of Transportation. Federal Aviation Administration and United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans. FAA Long-Range Aerospace Forecasts: Fiscal Years 2020, 2025 and 2030 [July 2004]. Report no. FAA-APO-04-3. United States. Department of Transportation. Federal Aviation Administration, 2004. https://rosap.ntl.bts.gov/view/dot/58480.
United States. Department of Transportation. Federal Aviation Administration, et al. FAA Long-Range Aerospace Forecasts: Fiscal Years 2020, 2025 and 2030 [July 2004]. United States. Department of Transportation. Federal Aviation Administration, 2004, Report no. FAA-APO-04-3, ROSA P. https://rosap.ntl.bts.gov/view/dot/58480.
United States. Department of Transportation. Federal Aviation Administration
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2004-03-01
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PDF
The FAA Aerospace Forecasts are developed to support budget and planning needs of the FAA. The forecasts are developed using statistical models to explain and incorporate emerging trends of the different segments of the aviation industry.
United States. Department of Transportation. Federal Aviation Administration, & United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans (2004). FAA Aerospace Forecasts: Fiscal Years 2004-2015 (Report No. FAA-APO-04-01). United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/58474
United States. Department of Transportation. Federal Aviation Administration and United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans. FAA Aerospace Forecasts: Fiscal Years 2004-2015. Report no. FAA-APO-04-01. United States. Department of Transportation. Federal Aviation Administration, 2004. https://rosap.ntl.bts.gov/view/dot/58474.
United States. Department of Transportation. Federal Aviation Administration, et al. FAA Aerospace Forecasts: Fiscal Years 2004-2015. United States. Department of Transportation. Federal Aviation Administration, 2004, Report no. FAA-APO-04-01, ROSA P. https://rosap.ntl.bts.gov/view/dot/58474.
United States. Department of Transportation. Federal Aviation Administration
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2003-06-01
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PDF
To assure consistency in agency planning, the Office of Aviation Policy and Plans provides an extension of its annual 12-year forecasts of aviation demand. Although forecast values are shown for specific years, year-to-year fluctuations are difficult to forecast precisely. Therefore, the projections reflect the trend of average conditions expected
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United States. Department of Transportation. Federal Aviation Administration, & United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans (2003). FAA Long-Range Aerospace Forecasts: Fiscal Years 2015, 2020, 2025 and 2030 [June 2003] (Report No. FAA-APO-03-3). United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/58479
United States. Department of Transportation. Federal Aviation Administration and United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans. FAA Long-Range Aerospace Forecasts: Fiscal Years 2015, 2020, 2025 and 2030 [June 2003]. Report no. FAA-APO-03-3. United States. Department of Transportation. Federal Aviation Administration, 2003. https://rosap.ntl.bts.gov/view/dot/58479.
United States. Department of Transportation. Federal Aviation Administration, et al. FAA Long-Range Aerospace Forecasts: Fiscal Years 2015, 2020, 2025 and 2030 [June 2003]. United States. Department of Transportation. Federal Aviation Administration, 2003, Report no. FAA-APO-03-3, ROSA P. https://rosap.ntl.bts.gov/view/dot/58479.
United States. Department of Transportation. Office of Aviation Consumer Protection
2002-12-01
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Air Travel Consumer Report Series
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The Air Travel Consumer Report is a monthly product of the Department of Transportation’s Office of Aviation Consumer Protection (OACP). The report is designed to assist consumers with information on the quality of services provided by the airlines. The report is divided into sections (Flight Delays, Mishandled Baggage Wheelchairs and Scooters, Ove
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United States. Department of Transportation. Office of Aviation Consumer Protection (2002). Air Travel Consumer Report: December 2002. United States. Department of Transportation. Office of Aviation Consumer Protection. https://doi.org/10.21949/1531418
United States. Department of Transportation. Office of Aviation Consumer Protection. Air Travel Consumer Report: December 2002. United States. Department of Transportation. Office of Aviation Consumer Protection, 2002. https://doi.org/10.21949/1531418.
United States. Department of Transportation. Office of Aviation Consumer Protection Air Travel Consumer Report: December 2002. United States. Department of Transportation. Office of Aviation Consumer Protection, 2002, ROSA P. https://doi.org/10.21949/1531418.
This presentation examines the Pacific Northwest Rail Corridor as a regional passenger rail initiative built through partnerships among public agencies, rail operators, and private stakeholders. It highlights continued Amtrak Cascades ridership growth, strong customer satisfaction, and ongoing capital improvements across multiple corridor segments.
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Uznanski, K. (2002). Pacific Northwest Rail Corridor: Success Through Partnerships. Washington State Department of Transportation. https://rosap.ntl.bts.gov/view/dot/89769
Uznanski, Ken. Pacific Northwest Rail Corridor: Success Through Partnerships. Washington State Department of Transportation, 2002. https://rosap.ntl.bts.gov/view/dot/89769.
Uznanski, Ken Pacific Northwest Rail Corridor: Success Through Partnerships. Washington State Department of Transportation, 2002, ROSA P. https://rosap.ntl.bts.gov/view/dot/89769.
The Gust Front Update algorithm (GFUP) is part of the gust front product generation chain for the ASR-9 Weather Systems Processor (WSP). GFUP processes gust front detection and position prediction data output by the Machine Intelligent Gust Front Algorithm (MIGFA), and uses an internal timer to schedule generation of updated current and 10- and 20-
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Troxel, S. W. (2002). Gust Front Update Algorithm for the Weather Systems Processor (WSP) (Report No. ATC-275). Massachusetts Institute of Technology. Lincoln Laboratory. https://rosap.ntl.bts.gov/view/dot/62390
Troxel, Seth W.. Gust Front Update Algorithm for the Weather Systems Processor (WSP). Report no. ATC-275. Massachusetts Institute of Technology. Lincoln Laboratory, 2002. https://rosap.ntl.bts.gov/view/dot/62390.
Troxel, Seth W. Gust Front Update Algorithm for the Weather Systems Processor (WSP). Massachusetts Institute of Technology. Lincoln Laboratory, 2002, Report no. ATC-275, ROSA P. https://rosap.ntl.bts.gov/view/dot/62390.
The Machine Intelligent Gust Front Algorithm (MIG-FA) utilizes multi-dimensional image processing and fuzzy logic techniques to identify gust fronts in Doppler radar data generated by the AS R-9 Weather Systems Processor (WSP). The algorithm generates products that support both safety and planning functions for ATC. Outputs include current and pred
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Troxel, S. W., & Pughe, W. L. (2002). Machine Intelligent Gust Front Algorithm for the WSP (Report No. ATC-274). Massachusetts Institute of Technology. Lincoln Laboratory. https://rosap.ntl.bts.gov/view/dot/62389
Troxel, Seth W. and W. L. Pughe. Machine Intelligent Gust Front Algorithm for the WSP. Report no. ATC-274. Massachusetts Institute of Technology. Lincoln Laboratory, 2002. https://rosap.ntl.bts.gov/view/dot/62389.
Troxel, Seth W., and W. L. Pughe Machine Intelligent Gust Front Algorithm for the WSP. Massachusetts Institute of Technology. Lincoln Laboratory, 2002, Report no. ATC-274, ROSA P. https://rosap.ntl.bts.gov/view/dot/62389.
This test and evaluation plan outlines the human factors system qualification testing (SQT) that will be conducted for ARGUS Explosive Detection Systems that have achieved FAA certification. During the system qualification. During the system qualification testing, human factors personnel will determine if each ARGUS system meets the requirements id
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Dixon, M. W. (2001). ARGUS EDS Human Factors System Qualification Test and Evaluation Plan (Report No. DOT/FAA/AR-01/115). United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/58900
Dixon, Melissa W.. ARGUS EDS Human Factors System Qualification Test and Evaluation Plan. Report no. DOT/FAA/AR-01/115. United States. Department of Transportation. Federal Aviation Administration, 2001. https://rosap.ntl.bts.gov/view/dot/58900.
Dixon, Melissa W. ARGUS EDS Human Factors System Qualification Test and Evaluation Plan. United States. Department of Transportation. Federal Aviation Administration, 2001, Report no. DOT/FAA/AR-01/115, ROSA P. https://rosap.ntl.bts.gov/view/dot/58900.
United States. Department of Transportation. Federal Aviation Administration
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2001-06-01
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PDF
To assure consistency in agency planning, the Office of Aviation Policy and Plans provides an extension of its annual 12-year forecasts of aviation demand. Although forecast values are shown for specific years, year-to-year fluctuations are difficult to forecast precisely. Therefore, the projections reflect the trend of average conditions expected
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United States. Department of Transportation. Federal Aviation Administration, & United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans (2001). FAA Long-Range Aerospace Forecasts: Fiscal Years 2015, 2020 and 2025 [June 2001] (Report No. FAA-APO-01-3). United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/58189
United States. Department of Transportation. Federal Aviation Administration and United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Policy and Plans. FAA Long-Range Aerospace Forecasts: Fiscal Years 2015, 2020 and 2025 [June 2001]. Report no. FAA-APO-01-3. United States. Department of Transportation. Federal Aviation Administration, 2001. https://rosap.ntl.bts.gov/view/dot/58189.
United States. Department of Transportation. Federal Aviation Administration, et al. FAA Long-Range Aerospace Forecasts: Fiscal Years 2015, 2020 and 2025 [June 2001]. United States. Department of Transportation. Federal Aviation Administration, 2001, Report no. FAA-APO-01-3, ROSA P. https://rosap.ntl.bts.gov/view/dot/58189.
This master plan outlines the test and evaluation activities required to develop the ARGUS Explosives Detection System (EDS) and the organization required to support that effort. The plan identifies 40 verification requirements, their method of verification, and assignments. The Grantees are responsible for certifying compliance; the program outlin
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Fabry, D. J., & Aishton, T. H. (2001). ARGUS EDS Test and Evaluation Master Plan (Report No. DOT/FAA/AR-01/38). United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/58898
Fabry, David J. and Thomas H. Aishton. ARGUS EDS Test and Evaluation Master Plan. Report no. DOT/FAA/AR-01/38. United States. Department of Transportation. Federal Aviation Administration, 2001. https://rosap.ntl.bts.gov/view/dot/58898.
Fabry, David J., and Thomas H. Aishton ARGUS EDS Test and Evaluation Master Plan. United States. Department of Transportation. Federal Aviation Administration, 2001, Report no. DOT/FAA/AR-01/38, ROSA P. https://rosap.ntl.bts.gov/view/dot/58898.
This document presents a plan to develop and evaluate an X-ray Image Screener Selection test (XISST). The XISST will be a computer-based job sample selection test, which will predict the effectiveness of X-ray screeners. The selection test, which will inv;Sponsored by Department of Transportation, Washington, DC.;pg 14
Rubinstein, J. (2001). Test and Evaluation Plan: X-ray Image Screener Selection Test (Report No. DOT/FAA/AR-01/47). United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Research. https://rosap.ntl.bts.gov/view/dot/57322
Rubinstein, Joshua. Test and Evaluation Plan: X-ray Image Screener Selection Test. Report no. DOT/FAA/AR-01/47. United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Research, 2001. https://rosap.ntl.bts.gov/view/dot/57322.
Rubinstein, Joshua Test and Evaluation Plan: X-ray Image Screener Selection Test. United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Research, 2001, Report no. DOT/FAA/AR-01/47, ROSA P. https://rosap.ntl.bts.gov/view/dot/57322.
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