Prediction and assessment of road traffic noise impact

Calculation of road traffic noise is important for environmental impact assessments. The aim of this thesis is to investigate and develop traffic noise prediction and assessment methods with a focus on heavy vehicle noise impact and night-time noise impact. A heavy vehicle noise emission model that considers the influence of translational vehicle dynamics on grade is analytically derived. The individual and combined contributions of rolling noise and engine noise are examined. The effects of acceleration and deceleration as well as the duration of heavy vehicle noise emission are presented. A multi-category vehicle noise emission model in free-flowing condition is derived to investigate the effects of changes in heavy vehicle axle configuration on noise source emission. Using the multi-category vehicle noise emission model, road traffic noise is predicted with higher accuracy compared to conventional models that assume the expansive variety of heavy vehicles are acoustically similar. Using the multi-category heavy vehicle noise emission model, road traffic noise profiles across a state road network are presented. Two supplementary noise indicators to identify the emergence of intermittent heavy vehicle noise from that of general commuter traffic noise and to describe diurnal traffic noise profiles are derived. Results obtained using the supplementary indicators are shown to spatially differentiate the road traffic profiles across the state road network.

• Record URL:
  http://handle.unsw.edu.au/1959.4/70506
• Supplemental Notes:
  • PhD thesis
• Authors:
  • Peng, J
• Publication Date: 2020

Language

• English

Media Info

• Pagination: 1 file

Subject/Index Terms

• TRT Terms: Axles; Dynamics; Forecasting; Heavy vehicles; Mathematical models; Night; Traffic noise; Trucks by number of axles; Vehicle dynamics
• ATRI Terms: Axle configuration; Forecast; Heavy vehicle; Modelling; Night; Traffic noise; Vehicle dynamics
• ITRD Terms: 132: Forecast; 1236: Lorry; Noise annoyance
• Subject Areas: Motor Carriers; I15: Environment;

Filing Info

• Accession Number: 01771295
• Record Type: Publication
• Source Agency: ARRB Group Limited
• Files: ITRD, ATRI
• Created Date: May 7 2021 10:08AM