New field studies need to be conducted in the US to acquire current data relative to varying degrees of noise exposure to provide information on the effect of noise on sleep. As studies may need to investigate samples around multiple airports it will not be possible to use polysomnography to monitor sleep, as it has a high methodological cost. Inst
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Basner, M., McGuire, S., & Witte, M. (2016). Pilot Sleep Study near Philadelphia International Airport — ASCENT Project 17 Report. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment. https://rosap.ntl.bts.gov/view/dot/89737
Basner, Mathias, Sarah McGuire, and Maryam Witte. Pilot Sleep Study near Philadelphia International Airport — ASCENT Project 17 Report. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2016. https://rosap.ntl.bts.gov/view/dot/89737.
Basner, Mathias, et al. Pilot Sleep Study near Philadelphia International Airport — ASCENT Project 17 Report. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2016, ROSA P. https://rosap.ntl.bts.gov/view/dot/89737.
Noise analysis is one important component of environmental evaluation for new flight procedure design. Communities, airports, regulators. Currently, the Aviation Environmental Design Tool (AEDT) is the primary tools used to evaluate new procedures and traffic intensity levels for calculating noise impact footprints near airports. AEDT noise calcula
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Morris, P. J., Hansman, R. J., Sparrow, V. W., Botre, M., Yutko, B., Jensen, L., Thomas, J., Brooks, C., Salgueiro, S., & Brenner, M. (2016). Project 23 Analytical Approach for Qualifying Noise from Advanced Operational Procedures. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment. https://rosap.ntl.bts.gov/view/dot/89740
Morris, Philip J., R. John Hansman, Victor W. Sparrow, Mrunali Botre, Brian Yutko, Luke Jensen, Jaqueline Thomas, Cal Brooks, Sandro Salgueiro, and Morrisa Brenner. Project 23 Analytical Approach for Qualifying Noise from Advanced Operational Procedures. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2016. https://rosap.ntl.bts.gov/view/dot/89740.
Morris, Philip J., et al. Project 23 Analytical Approach for Qualifying Noise from Advanced Operational Procedures. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2016, ROSA P. https://rosap.ntl.bts.gov/view/dot/89740.
The objective of this project was to continue research at The Pennsylvania State University in the ASCENT Center of Excellence to complement the sonic boom standards development ongoing within the Committee for Aviation Environmental Protection's (CAEP) Working Group 1 (Noise Technical), Supersonics Standards Task Group (SSTG). This research aimed
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Sparrow, V. W., Hodgdon, K. K., & Doebler, W. (2016). Project 7 Civil, Supersonic Over-Flight, Sonic Boom (Noise) Standards Development, Study of Variability Effects (Task #1). United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment. https://rosap.ntl.bts.gov/view/dot/89758
Sparrow, Victor W., Kathleen K. Hodgdon, and Will Doebler. Project 7 Civil, Supersonic Over-Flight, Sonic Boom (Noise) Standards Development, Study of Variability Effects (Task #1). United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2016. https://rosap.ntl.bts.gov/view/dot/89758.
Sparrow, Victor W., et al. Project 7 Civil, Supersonic Over-Flight, Sonic Boom (Noise) Standards Development, Study of Variability Effects (Task #1). United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2016, ROSA P. https://rosap.ntl.bts.gov/view/dot/89758.
Manufacturers of business jets have expressed interest in designing and building a new generation of supersonic jets that produce shaped sonic booms of lower peak amplitude than booms created by the previous generation of supersonic aircraft. To determine if these “low” booms are less intrusive and the noise exposure is more acceptable to communiti
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Davies, P., & Carr, D. J. (2016). Two Laboratory Studies of People’s Responses to Sonic Booms and Other Transient Sounds as Heard Indoors: The PARTNER Project 24 Final Report (Report No. PARTNER-COE-2016-002). Partnership for Air Transportation Noise and Emissions Reduction. https://rosap.ntl.bts.gov/view/dot/66409
Davies, Patricia and Daniel J Carr. Two Laboratory Studies of People’s Responses to Sonic Booms and Other Transient Sounds as Heard Indoors: The PARTNER Project 24 Final Report. Report no. PARTNER-COE-2016-002. Partnership for Air Transportation Noise and Emissions Reduction, 2016. https://rosap.ntl.bts.gov/view/dot/66409.
Davies, Patricia, and Daniel J Carr Two Laboratory Studies of People’s Responses to Sonic Booms and Other Transient Sounds as Heard Indoors: The PARTNER Project 24 Final Report. Partnership for Air Transportation Noise and Emissions Reduction, 2016, Report no. PARTNER-COE-2016-002, ROSA P. https://rosap.ntl.bts.gov/view/dot/66409.
United States. Department of Transportation. Federal Aviation Administration
2016-01-01
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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 (2016). FAA Aerospace Forecast: Fiscal Years 2016-2036 (Report No. TC16-0002). United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/59853
United States. Department of Transportation. Federal Aviation Administration. FAA Aerospace Forecast: Fiscal Years 2016-2036. Report no. TC16-0002. United States. Department of Transportation. Federal Aviation Administration, 2016. https://rosap.ntl.bts.gov/view/dot/59853.
United States. Department of Transportation. Federal Aviation Administration FAA Aerospace Forecast: Fiscal Years 2016-2036. United States. Department of Transportation. Federal Aviation Administration, 2016, Report no. TC16-0002, ROSA P. https://rosap.ntl.bts.gov/view/dot/59853.
This report covers the period between the initial establishment of the FAA Center of Excellence for Alternative Jet Fuels and Environment on September 13, 2013 through September 30, 2015. The Center was established by the authority of FAA solicitation 13-C-AJFE-Solicitation. During that time the ASCENT team launched a new website, which can be view
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ASCENT Aviation Sustainability Center (2015). FAA Center of Excellence for Alternative Jet Fuels & Environment : Annual Technical Report : December, 2016 : For the period September 13, 2013 - September 30, 2015. ASCENT Aviation Sustainability Center. https://rosap.ntl.bts.gov/view/dot/35793
ASCENT Aviation Sustainability Center. FAA Center of Excellence for Alternative Jet Fuels & Environment : Annual Technical Report : December, 2016 : For the period September 13, 2013 - September 30, 2015. ASCENT Aviation Sustainability Center, 2015. https://rosap.ntl.bts.gov/view/dot/35793.
ASCENT Aviation Sustainability Center FAA Center of Excellence for Alternative Jet Fuels & Environment : Annual Technical Report : December, 2016 : For the period September 13, 2013 - September 30, 2015. ASCENT Aviation Sustainability Center, 2015, ROSA P. https://rosap.ntl.bts.gov/view/dot/35793.
United States. Department of Transportation. Federal Aviation Administration. Civil Aerospace Medical Institute
2015-11-09
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Aeromedical Safety Brochures
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Aeromedical Safety Brochures are prepared for general aviation pilots, commercial pilots and physicians. The brochures acquaint the aviation community with the physiological challenges of the aviation environment and relevant safety concerns.
United States. Department of Transportation. Federal Aviation Administration. Civil Aerospace Medical Institute (2015). Aviation Safety Courses Available through the FAA (2015) (Report No. AM-400-01). United States. Department of Transportation. Federal Aviation Administration. https://doi.org/10.21949/1403396
United States. Department of Transportation. Federal Aviation Administration. Civil Aerospace Medical Institute. Aviation Safety Courses Available through the FAA (2015). Report no. AM-400-01. United States. Department of Transportation. Federal Aviation Administration, 2015. https://doi.org/10.21949/1403396.
United States. Department of Transportation. Federal Aviation Administration. Civil Aerospace Medical Institute Aviation Safety Courses Available through the FAA (2015). United States. Department of Transportation. Federal Aviation Administration, 2015, Report no. AM-400-01, ROSA P. https://doi.org/10.21949/1403396.
This project will develop, conduct, and analyze combustion experiments for alternative jet fuels in the National Jet Fuel Combustion Program's referee combustor. The effort involves rig testing of combustion parameters as well as implementation of advanced laser and optical measurements in the referee combustor to provide insight into details of th
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Zabarnick, S., Lee, T., Stouffer, S., Dewitt, M., Hendershott, T., Monfort, J., Mayhew, E., Rajasegar, R., & Hammack, S. (2015). Project 030 National Jet Fuels Combustion Program - Area #6: Referee Swirl-Stabilized Combustor Evaluation and Support. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment. https://rosap.ntl.bts.gov/view/dot/89772
Zabarnick, Steven, Tonghun Lee, Scott Stouffer, Matthew Dewitt, Tyler Hendershott, Jeffery Monfort, Eric Mayhew, Rajavasanth Rajasegar, and Stephen Hammack. Project 030 National Jet Fuels Combustion Program - Area #6: Referee Swirl-Stabilized Combustor Evaluation and Support. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2015. https://rosap.ntl.bts.gov/view/dot/89772.
Zabarnick, Steven, et al. Project 030 National Jet Fuels Combustion Program - Area #6: Referee Swirl-Stabilized Combustor Evaluation and Support. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2015, ROSA P. https://rosap.ntl.bts.gov/view/dot/89772.
The objective of this research is to gather and analyze aircraft engine non-volatile particulate matter (nvPM) emissions data collected from CLEEN, ACCESS and other recent emission measurement campaigns and to develop improved models for the relationship between fuel composition and nvPM emissions. Improvements to estimates of nvPM emissions from a
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Barrett, S. R., Speth, R., Malina, R., & Alvarez, L. (2015). Project 24A: Emissions Data Analysis for CLEEN, ACCESS, and Other Recent Tests. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment. https://rosap.ntl.bts.gov/view/dot/89759
Barrett, Steven R.H., Raymond Speth, Robert Malina, and Luis Alvarez. Project 24A: Emissions Data Analysis for CLEEN, ACCESS, and Other Recent Tests. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2015. https://rosap.ntl.bts.gov/view/dot/89759.
Barrett, Steven R.H., et al. Project 24A: Emissions Data Analysis for CLEEN, ACCESS, and Other Recent Tests. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2015, ROSA P. https://rosap.ntl.bts.gov/view/dot/89759.
This paper examines the potential fuel efficiency benefits of cruise altitude and speed optimization using historical fight path records. Results are presented for a subset of domestic US flights in 2012 as well as for long haul flights tracked by the European IAGOS atmospheric research program between 2010 and 2013. For a given lateral flight rout
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Jensen, L., Tran, H., & Hansman, R. J. (2015). Cruise Fuel Reduction Potential from Altitude and Speed Optimization in Global Airline Operations (Report No. 481-Jensen). United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/57448
Jensen, Luke, Henry Tran, and R. John Hansman. Cruise Fuel Reduction Potential from Altitude and Speed Optimization in Global Airline Operations. Report no. 481-Jensen. United States. Department of Transportation. Federal Aviation Administration, 2015. https://rosap.ntl.bts.gov/view/dot/57448.
Jensen, Luke, et al. Cruise Fuel Reduction Potential from Altitude and Speed Optimization in Global Airline Operations. United States. Department of Transportation. Federal Aviation Administration, 2015, Report no. 481-Jensen, ROSA P. https://rosap.ntl.bts.gov/view/dot/57448.
Atmospheric chemistry-climate models are often used to calculate the effect of aviation NOx emissions on atmospheric ozone (O3) and methane (CH4). Due to the long (∼10 yr) atmospheric lifetime of methane, model simulations must be run for long time periods, typically for more than 40 simulation years, to reach steady-state if using CH4 emission flu
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Khodayari, A., Olsen, S. C., Wuebbles, D. J., & Phoenix, D. (2015). Aviation NOx-Induced CH4 Effect: Fixed Mixing Ratio Boundary Conditions Versus Flux Boundary Conditions (Report No. j.atmosenv.2015.04.070). Elsevier. https://rosap.ntl.bts.gov/view/dot/57291
Khodayari, Arezoo, Seth C Olsen, Donald J. Wuebbles, and Daniel Phoenix. Aviation NOx-Induced CH4 Effect: Fixed Mixing Ratio Boundary Conditions Versus Flux Boundary Conditions. Report no. j.atmosenv.2015.04.070. Elsevier, 2015. https://rosap.ntl.bts.gov/view/dot/57291.
Khodayari, Arezoo, et al. Aviation NOx-Induced CH4 Effect: Fixed Mixing Ratio Boundary Conditions Versus Flux Boundary Conditions. Elsevier, 2015, Report no. j.atmosenv.2015.04.070, ROSA P. https://rosap.ntl.bts.gov/view/dot/57291.
In this study alerts and cues presented on five aircraft types (Airbus 320, Boeing 737NG, Boeing 777, Canadair Regional Jet (CRJ) 700, and Embraer 190) for 23 initiating conditions leading to one of 10 non‐normal events were identified and analyzed. These events and conditions exist in current day operations and are expected to have continued relev
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Berman, B. A., Kochan, J. A., Burian, B. K., Pruchnicki, S., Christopher, B., & Silverman, E. (2015). Alerts and Cues for Specific Conditions: Analysis and Application in Training. United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/62930
Berman, Benjamin A, Janeen A Kochan, Barbara K. Burian, Shawn Pruchnicki, Bonny Christopher, and Evan Silverman. Alerts and Cues for Specific Conditions: Analysis and Application in Training. United States. Department of Transportation. Federal Aviation Administration, 2015. https://rosap.ntl.bts.gov/view/dot/62930.
Berman, Benjamin A, et al. Alerts and Cues for Specific Conditions: Analysis and Application in Training. United States. Department of Transportation. Federal Aviation Administration, 2015, ROSA P. https://rosap.ntl.bts.gov/view/dot/62930.
United States. Department of Transportation. Federal Aviation Administration
2015-01-01
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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 (2015). FAA Aerospace Forecast: Fiscal Years 2015-2035 (Report No. OK-15-0814). United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/59852
United States. Department of Transportation. Federal Aviation Administration. FAA Aerospace Forecast: Fiscal Years 2015-2035. Report no. OK-15-0814. United States. Department of Transportation. Federal Aviation Administration, 2015. https://rosap.ntl.bts.gov/view/dot/59852.
United States. Department of Transportation. Federal Aviation Administration FAA Aerospace Forecast: Fiscal Years 2015-2035. United States. Department of Transportation. Federal Aviation Administration, 2015, Report no. OK-15-0814, ROSA P. https://rosap.ntl.bts.gov/view/dot/59852.
MITRE conducted this human-in-the-loop research project on Interval Management (IM) Controller Pilot Data Link Communications (CPDLC) to investigate the integration of two advanced Next Generation Air Transportation System (NextGen) capabilities across both the air and ground domains to uncover any complications that could arise from two key capabi
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Bone, R., & Long, K. (2014). Flight Crew and Air Traffic Controller Interactions When Conducting Interval Management Utilizing Voice and Controller Pilot Data Link Communications (Report No. MTR130300R1). United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/65655
Bone, Randall and Kevin Long. Flight Crew and Air Traffic Controller Interactions When Conducting Interval Management Utilizing Voice and Controller Pilot Data Link Communications. Report no. MTR130300R1. United States. Department of Transportation. Federal Aviation Administration, 2014. https://rosap.ntl.bts.gov/view/dot/65655.
Bone, Randall, and Kevin Long Flight Crew and Air Traffic Controller Interactions When Conducting Interval Management Utilizing Voice and Controller Pilot Data Link Communications. United States. Department of Transportation. Federal Aviation Administration, 2014, Report no. MTR130300R1, ROSA P. https://rosap.ntl.bts.gov/view/dot/65655.
Fine particulate matter (PM2:5) is a federally regulated air pollutant with well-known impacts on human health. The FAA's Destination 2025 program seeks to decrease aviation-related health impacts across the U.S. by 50% by the year 2018. Atmospheric models, such as the Community Multiscale Air Quality model (CMAQ), are used to estimate the atmosphe
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Boone, S., & Arunachalam, S. (2014). Calculation of Sensitivity Coefficients for Individual Airport Emissions in the Continental U.S. Using CMAQ-DDM/PM (Report No. 2616498.2616504). United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment. https://rosap.ntl.bts.gov/view/dot/57443
Boone, Scott and Saravanan Arunachalam. Calculation of Sensitivity Coefficients for Individual Airport Emissions in the Continental U.S. Using CMAQ-DDM/PM. Report no. 2616498.2616504. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2014. https://rosap.ntl.bts.gov/view/dot/57443.
Boone, Scott, and Saravanan Arunachalam Calculation of Sensitivity Coefficients for Individual Airport Emissions in the Continental U.S. Using CMAQ-DDM/PM. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2014, Report no. 2616498.2616504, ROSA P. https://rosap.ntl.bts.gov/view/dot/57443.
This study addressed the use of data-driven charts (DDC), which are electronic information charts that are drawn from an onboard chart database onto the forward displays. The DDC management system is intended to display only the electronic chart data that is relevant to the mission on the moving map or navigation display. It could have an important
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Pepitone, D., Ball, J., & Letsu-Dake, E. (2014). Recommendations for Managing Display Complexity with Electronic Chart Information. United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/64926
Pepitone, D, J Ball, and E Letsu-Dake. Recommendations for Managing Display Complexity with Electronic Chart Information. United States. Department of Transportation. Federal Aviation Administration, 2014. https://rosap.ntl.bts.gov/view/dot/64926.
Pepitone, D, et al. Recommendations for Managing Display Complexity with Electronic Chart Information. United States. Department of Transportation. Federal Aviation Administration, 2014, ROSA P. https://rosap.ntl.bts.gov/view/dot/64926.
United States. Department of Transportation. Federal Aviation Administration
2014-01-01
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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 (2014). FAA Aerospace Forecast: Fiscal Years 2014-2034 (Report No. OK-0723). United States. Department of Transportation. Federal Aviation Administration. https://rosap.ntl.bts.gov/view/dot/59851
United States. Department of Transportation. Federal Aviation Administration. FAA Aerospace Forecast: Fiscal Years 2014-2034. Report no. OK-0723. United States. Department of Transportation. Federal Aviation Administration, 2014. https://rosap.ntl.bts.gov/view/dot/59851.
United States. Department of Transportation. Federal Aviation Administration FAA Aerospace Forecast: Fiscal Years 2014-2034. United States. Department of Transportation. Federal Aviation Administration, 2014, Report no. OK-0723, ROSA P. https://rosap.ntl.bts.gov/view/dot/59851.
Aircraft noise may have a number of direct adverse effects on the communities surrounding airports, including annoyance. The annoyance reactions of individuals and communities to aircraft noise are predicted with annoyance models, which are normally functions of predictor variables that describe the noise exposure. The number of aircraft events tha
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Foertsch, K., & Davies, P. (2013). The Number-of-Events as a Predictor Variable in Aircraft Noise Annoyance Models: A PARTNER Project 24 Report (Report No. Project 24, PARTNER-COE-2013-002, HL 2013-1). Partnership for Air Transportation Noise and Emissions Reduction. https://rosap.ntl.bts.gov/view/dot/66407
Foertsch, Kevin and Patricia Davies. The Number-of-Events as a Predictor Variable in Aircraft Noise Annoyance Models: A PARTNER Project 24 Report. Report no. Project 24, PARTNER-COE-2013-002, HL 2013-1. Partnership for Air Transportation Noise and Emissions Reduction, 2013. https://rosap.ntl.bts.gov/view/dot/66407.
Foertsch, Kevin, and Patricia Davies The Number-of-Events as a Predictor Variable in Aircraft Noise Annoyance Models: A PARTNER Project 24 Report. Partnership for Air Transportation Noise and Emissions Reduction, 2013, Report no. Project 24, PARTNER-COE-2013-002, HL 2013-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/66407.
As demand for long-range business travel increases and technologies for efficient supersonic flight mature, a market for small supersonic civil aircraft appears to be forming. Results of recent studies indicate that such aircraft are feasible. However, a major remaining impediment to the operation of such aircraft is the cruise noise signature. Son
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Marshall, A. J., & Davies, P. (2013). Development of a Model of Startle Resulting from Exposure to Sonic Booms: A PARTNER Projects 8 and 24 Report (Report No. PARTNER-COE-2013-002). Partnership for Air Transportation Noise and Emissions Reduction. https://rosap.ntl.bts.gov/view/dot/66405
Marshall, Andrew J and Patricia Davies. Development of a Model of Startle Resulting from Exposure to Sonic Booms: A PARTNER Projects 8 and 24 Report. Report no. PARTNER-COE-2013-002. Partnership for Air Transportation Noise and Emissions Reduction, 2013. https://rosap.ntl.bts.gov/view/dot/66405.
Marshall, Andrew J, and Patricia Davies Development of a Model of Startle Resulting from Exposure to Sonic Booms: A PARTNER Projects 8 and 24 Report. Partnership for Air Transportation Noise and Emissions Reduction, 2013, Report no. PARTNER-COE-2013-002, ROSA P. https://rosap.ntl.bts.gov/view/dot/66405.
One of the primary impacts of aircraft noise on a community is its disruption of sleep. There are models that have been developed to predict the effect of aircraft noise on sleep. However, most of these models only predict the percentage of the population that is awakened. Markov and nonlinear dynamic models have been developed to predict an individ
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McGuire, S., & Davies, P. (2013). Modeling Aircraft Noise- Induced Sleep Disturbance: A PARTNER Project 24 and 25A Report (Report No. PARTNER-COE-2013-004). Partnership for Air Transportation Noise and Emissions Reduction. https://rosap.ntl.bts.gov/view/dot/66408
McGuire, Sarah and Patricia Davies. Modeling Aircraft Noise- Induced Sleep Disturbance: A PARTNER Project 24 and 25A Report. Report no. PARTNER-COE-2013-004. Partnership for Air Transportation Noise and Emissions Reduction, 2013. https://rosap.ntl.bts.gov/view/dot/66408.
McGuire, Sarah, and Patricia Davies Modeling Aircraft Noise- Induced Sleep Disturbance: A PARTNER Project 24 and 25A Report. Partnership for Air Transportation Noise and Emissions Reduction, 2013, Report no. PARTNER-COE-2013-004, ROSA P. https://rosap.ntl.bts.gov/view/dot/66408.
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