Comparison Between Measured Traffic Noise In Klang Valley, Malaysia And Existing Prediction Models

Herni Halim (), Ramdzani Abdullah, Mohd. Jailani Mohd Nor, Hamidi Abdul Aziz and Noorhazlinda Abd Rahman
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Herni Halim: School of Civil Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Malaysia.
Ramdzani Abdullah: Department of Environmental Management, Faculty of Environmental Studies, Universiti Putra Malaysia, Serdang, Malaysia.
Mohd. Jailani Mohd Nor: Deputy Vice Chancellor’s Office (Research and Innovation), Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
Hamidi Abdul Aziz: School of Civil Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Malaysia.
Noorhazlinda Abd Rahman: School of Civil Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Malaysia.

Engineering Heritage Journal (GWK), 2017, vol. 1, issue 2, 10-14

Abstract: Many road traffic noise models are available around the world. However, these models cannot be simply generalized because local conditions affecting such noise (e.g., vehicle type and weather) vary from one locality to another. Two traffic noise models used in this study are the L10 Calculation of Road Traffic Noise (CRTN) model and Traffic Noise Model of Ontario Ministry of Transportation. Using regression analysis, it was found that the predicted traffic noise levels by the CRTN model gave satisfactory correlation with the measured values (R2 of 0.7109). The Traffic Noise Model Of Ontario Ministry Of Transportation overestimated traffic noise level by 3.46 dB(A) on average. This study proves that the improved Ontario Ministry of Transportation Traffic Noise model is satisfactory in predicting traffic noise in a city with high percentage of motorcycle usage. This study also implies that CRTN model is a valid model in predicting traffic noise levels for a city with high rates of motorcycle use such Klang Valley, Malaysia.

Keywords: Traffic noise; CRTN; Traffic Noise Model of Ontario Ministry of Transportation. (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbngwk:v:1:y:2017:i:2:p:10-14

DOI: 10.26480/gwk.02.2017.10.14

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