Traffic noise: prediction of interrupted flow noise - a review and selection of a model for use in New Zealand

A comparison of traffic noise from freely flowing traffic conditions and traffic noise produced by interrupted traffic flow conditions identifies the complex nature of interrupted traffic flow noise. This leads to a definition of the important features of a prediction model for interrupted flow. Part of the problem in developing a noise prediction model for these situations is the need to adequately describe the traffic flow characteristics. Models for the prediction of interrupted flow traffic noise can best be developed for use at signalised intersections because of the certainty of data on the timing of traffic flows by observation of signal phasing. This report reviews in some detail current technology as published in the literature, and recommends the adoption of a suitable model for further trials under New Zealand conditions. Preliminary trials at two intersections in Wellington show the performance of the model is improved by using vehicle source noise levels representative of the New Zealand vehicle fleet because source noise levels relating to Australian conditions where the model was developed are different. The model is useful in the prediction of noise levels for future situations where signals are to-be installed, or where changes in signal phasing are planned. For existing situations, the model is a cost-effective method of determining noise levels at signalised intersections, when compared with manual survey methods. In the longer term it is possible that the model can be used to investigate the optimum phasing of networks of signalised intersections so that the overall noise emission is reduced. Improvements to reduce noise emission may also reduce other emissions from the traffic stream.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/478041381
• Corporate Authors:

  Transit New Zealand

  Wellington,    
• Authors:
  • Hunt, M
  • Samuels, S
• Publication Date: 1991

Language

• English

Media Info

• Pagination: 97p
• Serial:
  • Issue Number: 3

Subject/Index Terms

• TRT Terms: Data collection; Forecasting; Mathematical models; Sound level; Traffic flow; Traffic noise
• ATRI Terms: Data collection; Forecast; Modelling; Sound level; Traffic flow; Traffic noise
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 01433139
• Record Type: Publication
• Source Agency: ARRB
• ISBN: 478041381
• Files: ATRI
• Created Date: Aug 24 2012 5:27PM