• 한국측량학회지
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• 제25권3호
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• pp.199-205
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• 2007

본 연구에서는 주요한 소음원의 하나인 도로교통소음의 도심지에서의 전파양상과 피해정도의 명확한 분석을 위해 항공 LiDAR자료를 이용하여 건축물이 포함되지 않은 지형자료(DEM; Digtal Elevation Model) 및 건축물 정보가 포함된 지형자료(DBM; Digital Building Model)를 각각 작성하고, 각 자료별로 소음영향평가를 수행하여 그 결과를 비교하였다. 그 결과, 건축물 정보가 없는 경우 도로교통소음의 전파로 인하여 연구대상지역의 약 60%의 면적이 60dB(A) 이상의 소음께 노출되는 것으로 분석되었으나. 건축물 정보가 있는 경우는 약 30% 정도의 면적만이 노출되는 것으로 분석되었다. 또한, 정온한 환경으로 인식되는$45{\sim}50dB$(A)소음도구간의 면적이 건축물이 없는 경우 0%에서 건축물이 있는 경우 43%로 나타나 건축물에 의해 도로교통소음의 전파양상이 크게 영향을 받는 것을 알 수 있었다. 따라서 정확한 도로교통소음의 영향을 예측하기 위해서는 건축물 형상에 대한 정보가 필수적으로 포함하여야 할 것으로 판단되었다. 이러한 연구의 결과를 토대로 향후 항공 LiDAR 측량 등을 통하여 전국적인 규모의 건축물 정보가 획득된다면, 도로교통량정보를 이용한 도로교통소음 영향평가를 효율적으로 수행할 수 있을 것으로 판단되며, 이는 U-City 등과 같은 대규모 도시건설에서 소음문제예방, 교통계획 및 시공계획 수립 등을 위한 기초자료로서 활용이 가능할 것이다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 춘계학술대회논문집
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• pp.872-876
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• 2007

Road traffic noise map is effective method to save cost and time for environmental noise assessment. Generally, noise is calculated by using theoretical equation of noise prediction, and the calculated result can be influenced by various input factors. Especially, domestic vehicle classification method for traffic flow and heavy vehicle percentage is different from that of foreign countries. Thus, this can cause effect on the noise prediction results. In this study, noise prediction results by using domestic vehicle classification method are compared with those by foreign methods.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 춘계학술대회논문집
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• pp.867-871
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• 2007

Noise map is very efficient tool to evaluate the road traffic noise. However, calculation time and accuracy of noise map heavily depend on the grid size of noise map. In this study, effects of grid size on the prediction results of road traffic noise map have been investigated in detail for urban and rural areas, respectively, and efficient grid size for the noise map has been proposed.

• 한국소음진동공학회논문집
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• 제20권2호
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• pp.199-204
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• 2010

Noise map is very efficient tool to evaluate the road traffic noise. However, calculation time and accuracy of noise map heavily depend on the grid size of noise map. In this study, effects of grid size on the prediction results of road traffic noise map have been investigated in detail for urban and rural areas, respectively, and efficient grid size for the noise map has been proposed.

• 한국소음진동공학회논문집
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• 제22권2호
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• pp.193-197
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• 2012

Road traffic noise map is effective method to save cost and time for environmental noise assessment. Generally, noise is calculated by using theoretical equation of noise prediction, and the calculated result can be influenced by various input factors. Especially, domestic vehicle classification method for traffic flow and heavy vehicle percentage is different from that of foreign countries. Thus, this can cause effect on the noise prediction results. In this study, noise prediction results by using domestic vehicle classification method are compared with those by foreign methods.

• 한국소음진동공학회논문집
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• 제15권9호
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• pp.1084-1091
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• 2005

The indoor noise limit for road traffic noises is needed to secure comfortable acoustical quality in apartment houses. To achieve this goal, psycho-acoustic experiments were carried out with road traffic noise sources modulated by the transmission loss characteristics of the external windows. Finally, a correlation analysis between noise rating index and subjective responses, and an analysis of satisfactory percentage of the dose-response curves varied with respondents was conducted. As a result of this study, followings are suggested. (1) On correlation between dose level and psycho-acoustical response, the initial level of negative feeling is located on $40.1\~40.6\;L_{eq}$ dB(A), (2) On the degree of satisfaction to road traffic noise. near $35\;\%$ point being same dissatisfaction degree is to be assumed $40\~41$ dB(A) of indoor noise level presented into three vocabulary. It is suggested to be reasonable level of 40 dB(A) on the indoor noise limits for intruding road traffic noise. and it is appropriate to be the 5 dB level difference between grades. The results of this study may be used to evaluate the acoustic threshold level for road traffic noise or as a basis for specifying the desired acoustic environment of dwellings.

• 환경영향평가
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• 제21권4호
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• pp.567-572
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• 2012

This paper suggests the set-up plan of the assessment scope in road noise considering road characteristics with the prediction model of road noise. The RLS90 prediction model with some assumptions is used to establish the assessment scope of road noise. The main contents of the applied assumptions are smooth drive of cars, flat region, location of all noise sources in one lane, drive in design speed, and set-up of assessment scope according to traffic volume and car speed. The information of traffic volume to predict road noise is obtained by the distribution of small cars and full-sized cars in road. In this study, the total traffic volume in road is computed by adding the number of small cars to the conversion number of small cars, which means the number of small cars making the same noise as one full-sized car. The prediction result of road noise with the influence factor of traffic volume, car speed, distance between road and receiver is presented. The resultant assessment scope of road noise is obtained by combining road noise prediction data with the set-up standard of road noise assessment scope.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 추계학술대회논문집
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• pp.101-104
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• 2007

All of noise prediction model have it's own features in the case of modeling conditions, so it is very important to know the features of each model case by case for a proper modeling, especially using at the Environmental Impact Assessment. For prediction of highway traffic noise and abating the noise by barriers, two kinds of prediction model, HW-NOISE, KHTN(Korea Highway Traffic Noise) has been mainly used in Korea. In this study, the features of these models were described at the same conditions. The properties of sound power from a road, diffraction characteristics from a barrier, sound pressure level decaying in each model were investigated. Using the results, it will be anticipated that the proper using of prediction models in the works of highway noise abating.

• 한국음향학회지
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• 제27권8호
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• pp.403-410
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• 2008

급속한 도시인구의 증가와 교통량증가로 도로변 주거지역의 소음문제가 날로 심각해지고 있다. 본 연구에서는 도로교통량과 건축물의 위치와 형태를 고려한 소음수준을 평면적, 입체적으로 예측한다. 소음현황수준을 기초로 하여 소음원인 차량의 속도제어와 차종별 통행제한을 통한 변화치를 비교하여 개선방안을 도출하고자 한다. 분석결과 건물의 입체적분석보다 평면적 분석에서 소음환경기준치를 초과하는 면적의 비율이 높았고 주간보다 야간의 초과비율이 높게 나타났다. 개선방안은 하나의 방안을 실시했을 때보다 여러가지의 개선방안을 조합한 경우에 저감효과가 높게 나타났다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 추계학술대회논문집
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• pp.41-47
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• 2006

In this study, the influences of environmentally friendly visual and auditory information on traffic noise perception were surveyed by the using electroencephalogram Green rural region image and CBD image in urban city were used as visual informations. And traffic noise, signal and environmental music were used to detect the impact on electroencephalogram variance. It was revealed that green rural region image caused a-wave ratio increase about 10% and environmental music increased $\alpha$-wave ratio approximately $40{\sim}50%$. The results of this study improved that environmentally friendly visual and auditory information had an effect on decreasing traffic noise loudness to some extents.