ANALYSIS OF APPROVED AND RECENTLY DEVELOPED PREDICTION METHODS

In a search for new and improved methods for accurately predicting noise levels for all situations, two new prediction methods (the NCHRP 3-7/3 Revised Design Guide, RDG, and Ontario Highway Noise Prediction Method) were evaluated and compared with actual field measurements and the results using HUSH (a computer program based on the "Michigan Model" computerized version of NCHRP 11m/144). The RGD is a physical model designed for freely flowing traffic manifested in both a nomograph and computer program; and the Ontario method is a regression line model. in the form of nomographs based on 133 noise measurements at 120 locations near rural and urban freeways. Results for comparison purposes were obtained by inputting the actual traffic and geometric parameters into the 3 models, and comparing the outprints to the field measurements. The results show the HUSH overpredicts by 3 to 4 dBA for most situations, and that the Ontario method appears to the most accurate in terms of mean of the difference. The RDG predicts accurately with low standard deviations for all situations for the L10 descriptor; as distance increases, RDG L10 starts overpredicting. The results indicate that the simple relationship for (L10 - L sub dq) = 3 may apply for most practical situations. Also, there appears to be a range in volume below which the (L10 - L sub eq) relationship complicates, or the L10 descriptor becomes unstable.

• Record URL:
  • https://onlinepubs.trb.org/Onlinepubs/trcircular/175/175-010.pdf
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00978515
• Supplemental Notes:
  • Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Cohn, L F
• Publication Date: 1976-1

Media Info

• Media Type: Digital/other
• Features: Tables;
• Pagination: p. 70-72
• Serial:
  • Transportation Research Circular
  • Issue Number: 175
  • Publisher: Transportation Research Board
  • ISSN: 0097-8515

Subject/Index Terms

• TRT Terms: Accuracy; Alternatives analysis; Analysis; Computer programs; Field tests; Forecasting; Geometric elements; Linear regression analysis; Mathematical models; Noise; Nomographs; Traffic
• Uncontrolled Terms: Comparative analysis; Field measurements; Models
• Old TRIS Terms: Geometrics data
• Subject Areas: Environment; Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 00131402
• Record Type: Publication
• Files: TRIS, TRB
• Created Date: May 14 1976 12:00AM