Integrated Noise Model Accuracy for General Aviation Aircraft

Although the Federal Aviation Administration (FAA) has developed and continuously improved its Integrated Noise Model (INM) since the 1970s, the focus of these improvements has been on the sound level database for large commercial jets. Information from some general aviation (GA) airports suggests INM has over predicted GA noise impacts resulting in an inaccurate representation of noise contours. These disparities can lead to noise contours that do not reflect actual sound levels, which, in turn, may compromise compatible land use planning and result in unnecessary funding of noise mitigation. Research is needed to determine the accuracy of INM in predicting GA noise impacts, identify causes for these disparities, and identify potential solutions to improve the model and its use. The objectives of this research are to: (1) assess the predictive accuracy of the INM for GA aircraft, (2) identify causes for deviations between actual and predicted values, (3) identify potential solutions to improve the model's accuracy, and (4) describe the steps needed for their implementation.

Language

  • English

Project

  • Status: Completed
  • Funding: $350000.00
  • Contract Numbers:

    Project 02-37

  • Sponsor Organizations:

    Federal Aviation Administration

    800 Independence Avenue, SW
    Washington, DC  United States  20591

    Airport Cooperative Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC    20001
  • Performing Organizations:

    Harris Miller Miller & Hanson, Incorporated

    ,    
  • Principal Investigators:

    Miller, Nick

  • Start Date: 20110614
  • Expected Completion Date: 0
  • Actual Completion Date: 20140630
  • Source Data: RiP Project 37942

Subject/Index Terms

Filing Info

  • Accession Number: 01545896
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 02-37
  • Files: TRB, RiP
  • Created Date: Nov 27 2014 1:00AM