• 한국음향학회지
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• 제14권6호
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• pp.48-53
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• 1995

대부분의 도로교통소음 예측 방법에서는 음파가 자유로이 전과된다고 가정하였다. 그러나 도시가노변의 건물들은 음파를 반재시켜 도로내에 음에너지를 증가시키고 있다 따라서 본 연구는 반사조건을 고려한 도로교통소음 예측 방법을 찾고자 한다. 이 방법은 예측식에 반재효과를 고려하여 $L_{10},\;L_{50},\;L_{90}$ 및 $L_{eq}$ 등의 소음레벨을 구하는 것이다. 제시된 예측 방법의 적합성을 파악하기 위해 측정조사된 교통 등의 특성을 예측식에 잠용하여 예측된 소음레벨과 실측된 소음레벨을 비교분석하였다. 전반적으로 예측 소음레벨과 실측 소음레벨이 일치하였다. 그러므로 본 연구에서 제시하고 있는 반사조건을 고려한 예측 방법이 도시가노에서 도로교통소음 예측에 적합한 것으로 사료된다.

• 한국도로학회논문집
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• 제10권3호
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• pp.139-147
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• 2008

1996년 천호대로 중앙버스전용차로가 시행된 이후 2008년 까지 8개 구간이 운영되고 있다. 그러나 중앙버스전용차로의 시행에 따른 직 간접적 영향권 내의 도로교통량 변화는 보고되지 않고 있다. 따라서 본 연구에서는 2004년 7월에 동시 개통된 3개 구간에 대한 사전 사후 도로교통량 변화를 분석하였다. 분석결과, 중앙버스전용차로 구간의 교통량은 중앙버스전용차로 개통 후(2004년 11월) 24.7%로 급격히 감소한 후, 개통 후 1년(2005년 11월) 1.4%로 안정화 된 것으로 분석되었다. 인접 우회도로 교통량은 개통 후(2004년 11월) 2.9% 감소한 후, 개통 후 1년(2005년 11월) 0.3%로 미비하게 증가하였다. 측정오차(${\pm}5%$)를 고려하면 중앙버스전용차로 교통수요는 안정화 단계에 들어섰으며, 자동차 수요가 인접지역으로 우회하기 보다는 타 수단으로 전환된 것으로 판단된다.

• 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.

• 대한산업공학회지
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• 제26권4호
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• pp.354-362
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• 2000

Increasing amount of road tragic in 90's has drawn much attention in Korea due to its influence on safety problems. Various types of data analyses are done in order to analyze the relationship between the severity of road traffic accident and driving conditions based on traffic accident records. Accurate results of such accident data analysis can provide crucial information for road accident prevention policy. In this paper, we apply several data fusion, ensemble and clustering algorithms in an effort to increase the accuracy of individual classifiers for the accident severity. An empirical study results indicated that clustering works best for road traffic accident classification in Korea.

• 한국도로학회논문집
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• 제19권2호
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• pp.167-174
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• 2017

PURPOSES: This study aims to analyze the impact of the implementation of a school zone traffic safety improvement project on the number of accidents involving children in these zones. METHODS : To analyze the correlation between school zone traffic safety features of roads in the zone and the number of accidents involving children, we developed an occurrence probability model of traffic accidents involving children by using a binary logistic regression model with SPSS 23.0 software. Two separate models were developed for two zones: interior block and arterial road. RESULTS :The model depicted that in the case of the interior block, shorter sidewalk width, speed bump, and an elevated crosswalk were key factors affecting the occurrence of accidents involving children. In the case of arterial roads exceeding a width of 12 m, the speed limit, roadside barriers, and red paving of road surfaces were found to be the key factors. CONCLUSIONS:The results of this study can serve as the elementary research data to help improve the effectiveness of school zone traffic safety improvement projects and school zone road repair projects in future.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 춘계학술대회논문집
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• pp.277-282
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• 2006

Road traffic noise is not produced by any one factor rather occurs as a composition of various factors. Its occurrence is made by running engine noise, tire frictional, and exhaust noise etc. The quality of the noise depends on the size of the vehicles, rotation and engine speed, vehicle load, package state of the road and incline etc. The occurrence of noise level of heavy trucks appears louder than smaller vehicles and the noise levels produced differs according to speed and load etc between similar size vehicles. Other factors such as traffic density, average speed, mixing rate of heavy vehicles, and the distance between vehicles also generate road traffic noise. In this paper we examine 2, 4, and 6-lane roads in Jeonju. Consequently, this study examined the means used to measure road traffic noise. It was found that when there is a large traffic density and the average velocity is below 70 km/hr, the noise level could receive a relative proper value by the current measuring means. But in the case of night-time, it was found that the current measuring method is inapposite.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2004년도 추계학술대회논문집
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• pp.782-785
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• 2004

In the Well-being age, many people use a city park for rest deeply think and constitutional walk. The city park is located at near side by traffic road in urban. Citizens are not satisfied with it's fuction as a haven of peace due to road traffic noise. Thus, this study is for a research on the actual noise condition of a city park in Nowon go. This study uses a prediction method called ASJ-model in order to calculate PWLs of road traffic noise. Using calculated PWLs, noise levels in a park are predicted and compared with measured values.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 하계종합학술대회 논문집(4)
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• pp.163-166
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• 2000

Real-time traffic detection scheme based on Computer Vision is capable of efficient traffic control using automatically computed traffic information and obstacle detection in moving automobiles. Traffic information is extracted by segmenting vehicle region from road images, in traffic detection system. In this paper, we propose the advanced segmentation of vehicle from road images using multiple local region information. Because multiple local region overlapped in the same lane is processed sequentially from small, the traffic detection error can be corrected.

• 한국도로학회논문집
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• 제7권4호
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• pp.41-47
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• 2005

교통량, 속도, 차종 등으로 대표되는 교통자료는 도로를 계획하고 설계하는데 있어 매우 중요한 기초자료로 활용된다. 교통자료를 기준으로 해당 도로의 장래 서비스수준을 예측하며, 신설 및 확장될 도로의 기하구조가 결정되기 때문이다. 1985년 이후부터 건설교통부에서는 일반국도에 대해서 수시 교통량 조사와 상시 교통량 조사를 병행하고 있다. 이러한 교통조사는 일반국도와 일반국도 또는 일반국도와 고속국도가 만나는 네트웍 상의 노드를 중심으로 교통조사 구간을 설정하고, 이들 교통조사 구간에 대해서 교통량 조사를 수행하고 있다. 이러한 교통조사구간 설정 방법은 주요 도로가 만나는 결절점 사이의 구간에서는 교통량 변화패턴이 유사하다는 것을 전제로 하고 있다. 최근 우회도로의 신설, 중앙분리대 설치 등의 도로 기하구조 및 교통 시설물의 설치로 인하여 기존 구간의 특성이 변화되었다. 따라서 전국 일반국도를 대상으로 교통조사 구간의 유사성을 평가하여 국도의 동질성 구간에 대한 분석을 수행하였다. 유사성 평가를 위해서는 유전자 알고리즘을 적용한 모형을 구축하고, 모형의 적용을 통해 교통조사 구간을 정의하였다.

• Structural Engineering and Mechanics
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• 제47권4호
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• pp.531-544
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• 2013

Compared with pavement structures of ordinary road sections, pavement structures in the intersection are exposed to more complex traffic characteristics which may exacerbates pavement distresses such as fatigue-cracking, shoving, shear deformation and rutting. Based on a field survey about traffic characteristics in the intersection conducted in Shanghai China, a three dimensional dynamic finite-element model was developed for evaluating the mechanistic responses in the pavement structures under different traffic characteristics, namely uniform speed, acceleration and deceleration. The results from this study indicated that : (1) traffic characteristics have significant effects on the distributions of the maximum principal strain (MPS) and the maximum shear stress (MSS) at the pavement surface; (2) vehicle acceleration or deceleration substantially impact the MPS and MSS at pavement surface and could increase the magnitude of them by 20 percent to 260 percent; (3) in the vertical direction, with the increase of vehicle deceleration rate, the location of the MPS peak value and the MSS peak value changes from the sub-surface layer to the pavement surface.