A critical review of principal traffic noise models Strategies and implications.pdf

Environmental Impact Assessment Review 46 (2014) 68–81 Contents lists available at ScienceDirect Environmental Impact Assessment Review j ourna l homepage: www.e lsev ie r .com/ locate /e ia rA critical review of principal traffic noise models: Strategies and implicationsNaveen Garg a,b,?,1, Sagar Maji b a Apex Level Standards and Industrial Metrology Division, CSIR-National Physical Laboratory, New Delhi 110012, India b Department of Mechanical, Production and Industrial Engineering, Delhi Technological University, Delhi 110042, India? Corresponding author. E-mail address: ngarg@mail.nplindia.ernet.in (N. Garg 1 Author details: Naveen Garg is Senior scientist in CSI Machine design,Vibrations Acoustics, Measurement sc RD in Applied Acoustics. He has been involved in man DMRC, BMRCL, India. He has published many papers in Comparison exercises in Acoustics and Vibration metrolo Capabilities (CMCs) of CSIR-NPL, India in BIPM, Paris Key /10.1016/j.eiar.2014.02.001 0195-9255/? 2014 Elsevier Inc. All rights reserved.a b s t r a c ta r t i c l e i n f oArticle history: Received 1 November 2013 Received in revised form 4 February 2014 Accepted 4 February 2014 Available online 2 March 2014 Keywords: Equivalent continuous sound pressure level LAeq Principal traffic noise models Sound propagationThe paper presents an exhaustive comparison of principal traffic noise models adopted in recent years in developed nations. The comparison is drawn on the basis of technical attributes including source modelling and sound propagation algorithms. Although the characterization of source in terms of rolling and propulsion noise in conjunction with advanced numerical methods for sound propagation has significantly reduced the uncertainty in traffic noise predictions, the approach followed is quite complex and requires specialized mathematical skills for predictions which is sometimes quite cumbersome for town planners. Also, it is sometimes difficult to follow the best approach when a var