COMPARISON BETWEEN MEASURED TRAFFIC NOISE IN KLANG VALLEY, MALAYSIA AND EXISTING PREDICTION MODELS

COMPARISON BETWEEN MEASURED TRAFFIC NOISE IN KLANG VALLEY, MALAYSIA AND EXISTING PREDICTION MODELS

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...

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Bibliographic Details
Main Authors: Herni, Ramdzani, Mohd. Jailani, Hamidi, Noorhazlinda
Format: Article
Language:English
Published: Zibeline International 2018-07-01
Series:Engineering Heritage Journal
Subjects:
Traffic noise
CRTN
Traffic Noise Model of Ontario Ministry of Transportation.
Online Access:https://zibelinepub.com/archives/2gwk2017/2gwk2017-10-14.pdf
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spelling doaj-a638a5b320e74f008329404cdcff0f392020-11-24T20:47:24ZengZibeline InternationalEngineering Heritage Journal2521-09042521-04402018-07-0112101410.26480/gwk.02.2017.10.14COMPARISON BETWEEN MEASURED TRAFFIC NOISE IN KLANG VALLEY, MALAYSIA AND EXISTING PREDICTION MODELSHerni 0Ramdzani 1Mohd. Jailani 2Hamidi 3Noorhazlinda 4HalimAbdullahMohd NorAbdul AzizAbd RahmanMany 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. https://zibelinepub.com/archives/2gwk2017/2gwk2017-10-14.pdfTraffic noiseCRTNTraffic Noise Model of Ontario Ministry of Transportation.
collection DOAJ
language English
format Article
sources DOAJ
author Herni
Ramdzani
Mohd. Jailani
Hamidi
Noorhazlinda
spellingShingle Herni
Ramdzani
Mohd. Jailani
Hamidi
Noorhazlinda
COMPARISON BETWEEN MEASURED TRAFFIC NOISE IN KLANG VALLEY, MALAYSIA AND EXISTING PREDICTION MODELS
Engineering Heritage Journal
Traffic noise
CRTN
Traffic Noise Model of Ontario Ministry of Transportation.
author_facet Herni
Ramdzani
Mohd. Jailani
Hamidi
Noorhazlinda
author_sort Herni
title COMPARISON BETWEEN MEASURED TRAFFIC NOISE IN KLANG VALLEY, MALAYSIA AND EXISTING PREDICTION MODELS
title_short COMPARISON BETWEEN MEASURED TRAFFIC NOISE IN KLANG VALLEY, MALAYSIA AND EXISTING PREDICTION MODELS
title_full COMPARISON BETWEEN MEASURED TRAFFIC NOISE IN KLANG VALLEY, MALAYSIA AND EXISTING PREDICTION MODELS
title_fullStr COMPARISON BETWEEN MEASURED TRAFFIC NOISE IN KLANG VALLEY, MALAYSIA AND EXISTING PREDICTION MODELS
title_full_unstemmed COMPARISON BETWEEN MEASURED TRAFFIC NOISE IN KLANG VALLEY, MALAYSIA AND EXISTING PREDICTION MODELS
title_sort comparison between measured traffic noise in klang valley, malaysia and existing prediction models
publisher Zibeline International
series Engineering Heritage Journal
issn 2521-0904
2521-0440
publishDate 2018-07-01
description 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.
topic Traffic noise
CRTN
Traffic Noise Model of Ontario Ministry of Transportation.
url https://zibelinepub.com/archives/2gwk2017/2gwk2017-10-14.pdf
work_keys_str_mv AT herni comparisonbetweenmeasuredtrafficnoiseinklangvalleymalaysiaandexistingpredictionmodels
AT ramdzani comparisonbetweenmeasuredtrafficnoiseinklangvalleymalaysiaandexistingpredictionmodels
AT mohdjailani comparisonbetweenmeasuredtrafficnoiseinklangvalleymalaysiaandexistingpredictionmodels
AT hamidi comparisonbetweenmeasuredtrafficnoiseinklangvalleymalaysiaandexistingpredictionmodels
AT noorhazlinda comparisonbetweenmeasuredtrafficnoiseinklangvalleymalaysiaandexistingpredictionmodels
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