현재 일본 등 외국에서는 특별히 금지된 장소 이외에는 차량 운전자가 “보행자나 다른 차량의 정상적인 교통을 방해할 우려가 없다고 판단하 는 경우”도로의 중앙을 넘어 우회전·좌회전 또는 회전(유턴)할 수 있 도록 되어있다. 그러나 한국에서는 1984년 당시,“교통안전”을 확보하기 위해 좌회전은 원칙적으로 교통 신호에 따라서만 가능하도록 하고, 원활한“교통소통”을 도모하기 위해 필요한 경우에는 관할 지방경찰청장이 특별히 허용한 장소 에서만 제한적으로 좌회전을 허용하는 방식의‘비보호 좌회전’이라는 독특 한 제도를 도입하였다. 원래‘비보호’란 법의 보호를 받지 못한다는 의미이며, ‘비보호 좌회 전’은 도로의 중앙을 넘어 반대방면으로 진입하는 운전 행위이기 때문에 매우 위험하다. 따라서 종래에는 도로교통법령에‘비보호 좌회전’하다가 교통 사고가 발생하면 좌회전 차량 운전자에게“신호위반”의 책임을 지고 무거운 처벌을 받도록 규정함으로써 평상시 경각심을 가지고 조심스럽게 운전을 하도록 유도하고 있었다. 그런데 2008년경부터 경찰청은‘비보호 좌회전’과‘유턴’확대,‘비보호 겸용 좌회전’ 신설 등 주로“교통소통”위주의 시책을 적극 추진하였다. 그 과정에서“적신호시, 좌회전시 등”기존의 보조표지를 제거한‘유턴’허 용 지점이 많아졌고, 그 결과 교통사고가 빈발하자, 일부 지역에서는 기존의 보조표지를 제거한‘유턴’허용지점에 현행법상 아무런 근거도 없는‘비보 호’라는 새로운 내용의 보조표지를 부착하는 등 현재‘비보호’는 관련법 규정과 실제 운용 실태 간에 상당한 괴리와 혼동이 발생하고 있는 실정이다. 그중에서도 특히 2010년 8월에는 ‘비보호 좌회전’하다가 교통사고를 야기 한 운전자에게는 “신호위반”의 무거운 책임을 지도록 했던 기존의 근거 규정 도 삭제되었다. 그 결과 녹색 신호에 정상 진행하다가 반대방향 도로에서 갑자기 튀어나온 비보호 차량과 충돌하는 사고를 당한 피해 운전자 입장에서 는 가해 운전자가 종합보험에 가입되어 있는 경우, 현행 「교통사고처리특례 법」상 불기소로 가볍게 처리됨으로써 그에 따른 불만이 크게 고조되고 있다. 따라서 이러한 문제를 해소하기 위해서는 교통사고 발생 시, 당사자 간 여러 가지 중대한 책임과 의무를 초래하게 되는 법상 ‘비보호’관련 규정을 다음과 같이 시급히 정비 ․ 보완해야 할 필요가 있다. 첫째, ‘비보호’및 ‘유턴’의 개념을 법 제2조에 신설하고, 관련 규정을 개정․보완해야 한다. 둘째, 이미 활용되고 있는 ‘비보호 유턴’을 현실화하고, 그 근거 규정을 신설하여야 한다. 셋째, ‘비보호 좌회전 및 유턴’통행하는 차마 운전자에 대한 책임성을 강화해야 한다. 넷째, ‘비보호 좌회전 및 유턴’의 법적근거와 사고 야기에 따른 처벌규 정을 신설해야 한다. 다섯째, ‘비보호 유턴’관련 안전표지 및 노면표시를 신설하고, 비보호 허용지점 전방에는 ‘예고 노면표시’를 설치 ․ 운용해야 한다.

In this study, we are developing next-generation traffic signal control system, SMART SIGNAL, which is operated using a traffic big-data. To improve urban’s chronic recurrent congestion, SMART SIGNAL conducts real-time traffic signal control based on travel time data of traffic information systems. This research project started in 2015 and is scheduled to end in 2019. This research project consists of three sub-tasks, which are traffic big-data bank system, signal operation algorithm, and field test for SMART SIGNAL. The traffic big-data bank system includes the travel time and traffic volume data from public and private sector’s traffic information systems. Additionally, this system contains taxi trajectory data, CCTV image and smartphone based traffic data. This big-data system predicts the travel time and traffic volume by intersection movement for real-time signal control. The smart signal operation algorithm of SMART SIGNAL consists three sub-algorithm of PRE-CON, CAERUS, and NIMOS. PRE-CON makes today’s signal timing plan using historical traffic data. CAERUS is traffic responsive signal control algorithm based on predicted travel time. NIMOS is spillback control algorithm for oversaturated condition. In this project, field experiment is planned in 2019 in Seoul.

기후변화로 인한 결빙, 폭설, 집중호우 등 도로에서의 기상조건은 해마다 수많은 인명 피해를 유발하고 있다. 그러나 급변하는 기상상태에 신속하게 대처할 수 있는 도로기상 대응체계가 미흡하여 교통사고로 인한 사회·경제적 손실이 가중되고 있다. 최근 교통사고 통계자료에 의하면 기상상태가 좋지 않을 때의 교통사고치사율은 맑은 날씨일 때 보다 2～3배 심각한 것으로 나타났다(교통안전공단 2016). 따라서 기상악화 시 교통사고예방에 필요한 구체적이고 상세한 기상정보를 운전자에게 제공함으로써 교통사고예방 및 도로 운영의 활용성을 높일 수 있는 도로기상 모델개발이 필요하다. 도로기상 모델과 관련해서 도로기상 선진국(유럽, 캐나다, 일본, 미국 등)은 1990년대 초반부터 도로 노면온도와 노면 결빙점 예측을 위한 다양한 모형을 개발하고 모델의 성능을 검증하기 위한 노력을 기울이고 있다(Meng, 2014; Sato, 2004). 이들 국가는 주요 도로에 대해서 도로기상 관리지원시스템을 구축‧운영하고 있으며, 개발된 모델로부터 추정된 노면상태 정보를 도로이용자 및 도로관리자에게 제공함으로써 교통사고 및 도로파손 손실에 따른 사회적 비용을 줄여나가고 있다. 우리나라 도로기상 분야는 결빙 취약구간인 터널의 입·출입부에 수용액 형태의 제설제 자동 분사장치를 설치하여 운영하고 있는 단계로서 도로기상 선진국과 같이 도로구간 단위로 확장하여 서비스할 수 있는 기술은 미흡한 단계이다. 이들 국가와 같이 도로기상 관리지원시스템을 운영하여 주요 도로에 대해서 도로기상 정보를 실시간으로 서비스하기 위해서는 도로의 한 지점만을 대상으로 하는 기술대응 보다는 전체 도로구간의 노면상태를 예측할 수 있는 기상상황별 통합모델 개발이 우선시 되어야 한다. 이러한 기술개발의 필요성에 따라서 본 연구에서는 기상상황별 노면상태를 서비스할 수 있는 통합모델을 개발하였다. 첫 번째 모델은 겨울철 도로노면의 상태를 예측할 수 있는 모델이다. 노면상태 예측모델은 기계학습 방법 중에 하나인 의사결정나무(Decision Tree) 알고리즘 기반으로 개발되었으며, 이동형 차량(Probe vehicle)에서 수집되는 기상입력 자료를 학습하여 기상요소에 따른 4가지 노면상태(Dry, Moist, Wet, Ice)를 예측할 수 있다. 두 번째로 집중호우 기간에 도로에서 발생하는 도로의 수막정보를 예측할 수 있는 모형이다. 도로의 수막예측 모델은 기상청에서 제공하는 1시간 단위의 AWS(Automatic Weather System) 자료와 10m 단위의 도로기하구조 정보를 활용하였다. 도로에서의 강우량 추정은 kNN(k-Nearest Neighbors)기법을 활용하여 대상도로와 가장 가까운 AWS 관측소의 강우정보를 각 해당 도로구간에 할당하였다. 현재 본 도로기상 통합모델은 서울시 내부순환로와 올림픽대로에 대해서 실시간 서비스할 수 있도록 생산체계가 구축되었다. 도로기상 통합모델은 우리나라 주요 도로에 적용이 가능하여 하절기의 집중호우로 인한 물이 고인 도로지점과 동절기의 기온강하로 인한 도로의 결빙현상 등 도로노면상태 정보를 실시간으로 서비스할 수 있다. 또한 기상 악화 시 도로를 효율적으로 관리할 수 있는 의사결정 도구로 활용되어 교통재난 및 도로파손을 줄이는데 기여할 수 있을 것이다.

PURPOSES: According to accident statistics for road built in 2004, the ratio of accidents on frozen roads to normal roads is 0.9%, whereas the fatality ratio is 2.7%. The risk of accidents on frozen roads is very high. Measures taken every year to prevent traffic accidents of frozen roads in the winter season are still insufficient. Additionally, measures have been established mainly on rural roads. Therefore, for urban roads, analyses and measures to prevent accidents are lacking. In this study, data on accidents on frozen roads was used to search for the causes behind these accidents and measures to reduce accidents have been recommended. METHODS: In this study, collected data from the TAMS (Traffic Accident Management System), which were collected by the Seoul National Police Agency was used. The data were divided into vehicle, people, and condition of road. The analytical model used here was the Logistic Regression Model, which is frequently used for traffic safety and accident analysis. This study uses the odds ratio analysis to search for variables related to frozen road traffic accidents in each category. A total of 18 out of 47 variables were found to be the causes of accidents. RESULTS: From the results of the comparative analysis of 18 variables, the category of the condition of the road was found to be the most critical. Contrary to expectations, more accidents occurred in clear weather than in other conditions. Accidents on bridges occurred frequently, and its odds ratio was the highest compared with other road types. When BPT is operated, the probability of accidents on frozen roads is lower than in general conditions, and accidents occurred frequently on roads with less than four lanes. CONCLUSIONS : Based on the results of this study, suggestions for reducing the risk of future domestic road accidents in freezing conditions are indicated as follows. First, it is necessary to perform a technical review of the urban road traffic accidents caused by frozen roads. Second, it is necessary to establish criteria for the study of the road environment based on the major causes of road accidents on frozen roads. Third, improvements in urban road environmental factors should be made.

PURPOSES : The purpose of this study is to analyze the requirements of the road traffic safety moderator robot when road repairing. The road traffic safety moderator robot is road traffic safety equipment and to conversions mechanical engineering and IT when road repairing. METHODS: The study used AHP based on the survey from road repair related expert that field engineers, design engineers, public officials and professors. The survey used paired comparison. The survey items were safety, convenience and economics. The safety is classified as visibility or efficiency, the convenience is classified as utility or mobility and the economics is classified as initial investment cost or maintenance $ management cost. The survey alternatives were the road traffic safety moderator robot, traffic regulation by human, traffic regulation by mannequin and traffic signs. The software for AHP is Expert Choice 2000. RESULTS : The results of AHP analyze, the weighted value of safety was analyzed with the highest at 0.488 of survey items. The weighted value of convenience was analyzed at 0.295, the weighted value of economics was analyzed at 0.218. The results of the road traffic safety moderator robot, the weight value of efficiency and utility were analyzed with the highest at 0.284 and 0.259 of alternatives. The weighted value of initial investment cost and maintenance & management cost were analyzed with the lowest at 0.203 and 0.211 of alternatives. The consistency test results of each items, null hypothesis is rejected because the CR values were 0.000 respectively. Therefore, the study results are consistency. CONCLUSIONS : The result of this study, overall value of the road traffic safety moderator robot came off second-best of other alternatives. The road traffic safety moderator robot has been received highest praise by the result of the study as good road traffic safety equipment when road repairing because the weighted values of efficiency and utility were analyzed with the highest of survey items. The efficiency mean securing safety and the utility mean practical assistance when road repairing. The results of this study showed that the road traffic safety moderator robot will effective for traffic safety when road repairing. economics and visibility are that supplementation of the road traffic safety moderator robot because the weighted values of economics and visibility were analyzed with the lowest of survey items. The consistency test results are consistency because the CR values were 0.000 respectively.

Generally, the traffic noise occurring on roads has emerged as an important factor that harms the residential environment. Because of the noise, residents living near roads have been causing civil complaints. Therefore, it is required to evaluate road traffic noise during the whole procedures of building an apartment, ranging from design to construction. And if an evaluated noise exceeds regulation standards, some measures to prevent the noise, such as installation of soundproof walls, and other kinds of plans should be prepared. In this point, this work measured road traffic noise in a site of housing land development, investigated its characteristics, and used a simulation program to predict outdoor noise on the basis of the data about traffic effect evaluation, design drawing, and the data about site measurement. Based on the prediction, it also predicted indoor noise. It is judged that this research will serve as an important material to establish soundproof measures on the basis of prediction of traffic noise in building an apartment.

PURPOSES: The purpose of this study is to research the influence of road traffic noise by road slope through the analysis of the field road traffic noise and determine consideration of road slope in the case of appling active noise cancellation. METHODS: This study measures vehicle's noise by the NCPX method at the three field sections such as uphill, downhill, and flatland. Total sound pressure and sound pressure level by the 1/3 octave band frequency are calculated through the raw field data. Total sound pressure level is compared by ANOVA test and T test statistically. The results obtained are compared in accordance with the road slope and the progress of the uphill section. RESULTS : The noise characteristic of early, medium, and last parts of uphill was found to be consistent when the vehicle was travelling uphill section. The result of statistical test, it was shown that total sound pressures are not different each other. According to the comparison by the geometry, sound pressure of the uphill section was higher than those of the flatland and downhill section in high frequency band. By the result of statistical test, total sound pressure are different according to geometry in the case of high vehicle speed. In the comparison result by road slope, each sound pressure level was found to be consistent in total frequency. However, total sound pressure proportionally increased according to road slope. CONCLUSIONS: It is found that the effect of road slope on noise generation was little in this experimental sites.

PURPOSES : This study is to investigate the relationship of socioeconomic characteristics and road network structure with traffic growth patterns. The findings is to be used to tweak traffic forecast provided by traditional four step process using relevant socioeconomic and road network data. METHODS: Comprehensive statistical analysis is used to identify key explanatory variables using historical observations on traffic forecast, actual traffic counts and surrounding environments. Based on statistical results, a multiple regression model is developed to predict the effects of socioeconomic and road network attributes on traffic growth patterns. The validation of the proposed model is also performed using a different set of historical data. RESULTS : The statistical analysis results indicate that several socioeconomic characteristics and road network structure cleary affect the tendency of over- and under-estimation of road traffics. Among them, land use is a key factor which is revealed by a factor that traffic forecast for urban road tends to be under-estimated while rural road traffic prediction is generally over-estimated. The model application suggests that tweaking the traffic forecast using the proposed model can reduce the discrepancies between the predicted and actual traffic counts from 30.4% to 21.9%. CONCLUSIONS : Prediction of road traffic growth patterns based on surrounding socioeconomic and road network attributes can help develop the optimal strategy of road construction plan by enhancing reliability of traffic forecast as well as tendency of traffic growth.

PURPOSES: This study is to develop a road traffic sign recognition and automatic positioning for road facility management. METHODS: In this study, we installed the GPS, IMU, DMI, camera, laser sensor on the van and surveyed the car position, fore-sight image, point cloud of traffic signs. To insert automatic position of traffic sign, the automatic traffic sign recognition S/W developed and it can log the traffic sign type and approximate position, this study suggests a methodology to transform the laser point-cloud to the map coordinate system with the 3D axis rotation algorithm. RESULTS: Result show that on a clear day, traffic sign recognition ratio is 92.98%, and on cloudy day recognition ratio is 80.58%. To insert exact traffic sign position. This study examined the point difference with the road surveying results. The result RMSE is 0.227m and average is 1.51m which is the GPS positioning error. Including these error we can insert the traffic sign position within 1.51m CONCLUSIONS: As a result of this study, we can automatically survey the traffic sign type, position data of the traffic sign position error and analysis the road safety, speed limit consistency, which can be used in traffic sign DB.

두루미류의 취식무리 크기 및 구성과 도로 유형별, 취식무리 규모에 따른 분포거리 연구를 월동기인 2005년 12월에서 2006년 2월까지 총 8회 실시하였다. 두루미와 재두루미의 취식무리는 주로 2~4개체로 구성된 무리였다. 두루미와 재두루미 모두 혼종무리 보다는 단일종의 취식무리가 많았다. 두루미와 재두루미간 취식무리 크기별 비율은 유의한 차이가 있었다. 두루미의 포장도로(PR)와의 평균거 리는 비포장농로(UPR), 포장농로(PFR), 비포장농로(UPFR) 도로와의 거리에 비하여 멀었다. 재두루미의 경우 도로로부터의 이격거리는 농로로부터의 거리와 차이가 있었다. 두루미와 재두루미 종간 도로유형별 이격거리는 포장도로에서만 유의미한 차이가 있었다. 이 결과는, 두루미류가 차량 출입이 잦은 도로를 차량 출입이 낮은 농로에 비하여 선호하지 않는 것을 보여준다. 포장도로에서 5개체 이상의 두루미 취식무리는 전체 취식무리와 5개체 미만의 취식무리에 비하여 도로로부터 이격거리가 멀었다. 재두루미는 5개체 이상의 취식무리가 5개체 미만의 취식무리에 비하여 포장도로 및 포장농로와 비포장농로에서 이격거리가 멀었으며, 비포장도로에서는 무리크기에 따른 이격거리의 차이가 없었다. 결과적으로, 무리의 크기가 큰 경우 방해요인에 대한 영향이 일부 더 크게 나타났다. 이러한 결과는 두루미류의 큰 취식무리가 주변을 감시하는 효율이 무리크기가 작은 경우보다 높은 것과 관련이 있을 것으로 보인다.

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(±5%)를 고려하면 중앙버스전용차로 교통수요는 안정화 단계에 들어섰으며, 자동차 수요가 인접지역으로 우회하기 보다는 타 수단으로 전환된 것으로 판단된다.

자동차에서 배출되어지는 NO2(또는 TSP)에 대한 환경영향평가는 사람들의 건강과 환경보존의 관점에서 그 지역의 거주자를 위해서 필요한 것이다. 환경영향평가 수행을 위한 필드 조사에서, 수치모의를 위해서 정확한 농도가 계산되어지고 기상 데이터는 관측되어진다. 수치모의를 하기 위한 배경농도를 결정하기 위해서, NO2(또는 TSP)의 연평균농도는 Puff-Plume 모델을 이용하여 계산되어진다. 만약 계산된 결과들이 환경에 영향을 미치게 되면, 이 결과는 환경보존활동에 고려되어야만 한다. 본 시스템은 이러한 환경영향평가를 예측과정을 손쉽게 할 수 있도록 개발되었다. 또한 이 시스템은 인터체인지와 터널 입구 등과 같은 특수한 도로를 제외한 일반도로에서 배출되는 대기오염의 농도를 예측하고자 하는 사용자를 위하여 제공되어진다. 또한, 이 시스템은 농도의 계산뿐만 아니라 결과를 그래프로 나타내는 기능도 포함되어 있다. 이 시스템을 이용함으로써 직업프로그래머가 아닌 초보자인 사용자일지라도 여러 가지 계산결과 및 결과 그래프를 간단하게 얻을 수 있다.

This study carried out evaluation of vulnerability in accessability and functionality using road network that was extracted from Intelligent Transportation System(ITS) and digital map. It was built in order to figure out accessability that locational data which include community center, public facilities, medical facilities and highway IC. The method for grasping functionality are Digital Elevation Model(DEM) and land slide hazard map provided by Korea Forest Service. The evaluation criteria for figure out accessability was set to related comparison of average time in urban area. Functionality value was calculated by the possibility of backing the vehicle possibility of snowfall and landslides. At last, this research computed weighting value through Analytic Hierarchy Process (AHP), calculated a vulnerable score. As the result, the accessability of rural village came out that would spend more time by 1.4 to 3.2 times in comparison with urban area. Even though, vulnerability of the road by a snowfall was estimated that more than 50% satisfies the first class, however, it show up that the road were still vulnerable due snowing because over the 14% of the road being evaluated the fifth class. The functionality has been satisfied most of the road, however, It was vulnerable around Lake Daechung and Piban-ryung, Yumti-jae, Suriti-jae where on the way Boeun. Also, the fifth class road are about 35 km away from the city hall on distance, take an hour to an hour and a half. The fourth class road are about 25 km away from the city hall on distance, take 25 min to an hour. The other class of the road take in 30 min from the city hall or aren't affected of weather and have been analyzed that a density of road is high. In A result that compare between distribution and a housing density came out different the southern and the eastern area, so this result could be suggested quantitative data for possibility of development.

도로의 노면상태는 운전자의 주행안전성 확보에 직접적인 영향을 미치며, 적절한 노면상태가 유지되지 않으면 교통사고 발생 원인으로 작용한다. 특히, 강우시에는 노면에 물고임이 발생하여 미끄럼 사고 등을 유발시킨다. 따라서, 본 연구에서는 도로의 노면 정보수집 시스템을 활용하여, 도로 기하구조 조건에 따른 노면 정보를 수집하고, 실제 사고 데이터와의 매칭을 통해 물고임에 의해 사고가 발생할 수 있는 영역 구분에 관한 연구를 진행하였다. 지방도, 국도의 노면 정보를 수집하고, 도로기하구조(직선,곡선)를 구분하여 상관 관계를 규명하였으며, 본 연구결과는 노면과 관련한 도로 안전성 향상에 기여할 것으로 기대된다.

In this research, we measured the number of lanes, distance, disposition of apartment that are affecting the road traffic noise to evaluate the current condition of G city’s road traffic noise. We decide on a basis regarding an apartment price formation factor, and the apartment current price and the results that compared. To have a point scale, we set the maximum road traffic noise at a 8 lane road for 5 points, give 4 points for a 6 lane road, which has a 2.1～2.5 dB(A) difference compared to a 8 lane road, give 3 points for a 4 lane road, which has a 5.2～5.5 dB(A) difference compared to a 8 lane road, and set 2 points for a 2 lane road and lower. If we set the standard floor plan as horizontal and a living room facing the roadside, the horizontal and living room facing the opposite side of the road is 1 point because it differs by 14.1 dB(A), and the vertical is 3 points since the difference is 5.3 dB(A). If we make grades by the distance, making standard the fifth floor with little soundproof effect from apartment to road, we observe a measurement below 2.9 dB(A) at a distance of less than 10 m and 5 dB(A), decreased at a distance of 20 m. Therefore, 4 points were given for less than 10m, 3 points for 10～20 m, 2 points for more than 20 m as we can apply the effect of a decay distance of line sound source and the decrease in noise effects of more than 6 dB(A), 1 point for more than 40m, and 0 points for more that 80 m since it is negligible. 28 apartments got 0 points because there is no effect of road traffic noise from other apartments, and 50 apartments where only the road at one side effect them got 5～10 points. 4 apartments (17-2, 6-3, 10-4, 3-3) received over 20 points. 15 cases showed a difference between developer price and resale price, and 11 cases (73%) among them showed the same trend (price increases with a low road traffic noise restriction factor point) with the point of road traffic noise restriction factor. 4 cases demonstrated the opposite trend, showing price increases with a high restriction factor point. Among the 4 cases, case numbers 2,6 and 9 appear to be more affected by the location factor (business district) than the road traffic noise restriction factor, and case number 1 appears to be affected by the building factor (openness and direction).

This paper represents the statistical characteristics of sources and receptors for road traffic noise in apartment complex. Also we suggested that the site-specific characteristics of vertical and horizontal distributions in the complex apartment have been derived using a different analysis for evaluating levels of Leq1h by the apartment floor at a given distance from a road in terms of the flow rate, the mean speed of the traffic, and the percentage of the type vehicles in the day and night periods. As a result, the contribution orders of traffic quantity by the type of vehicles showed as followed: light vehicle>medium vehicle>heavy vehicle>motorcycle. Especially, the mixing ratio of entering the road on the heavy vehicle in the daytime was two times higher than that of in the night. The speed in all types of vehicle is in the range of 41 and 81 km/hr and noise level was not significantly different in day and night-time. The sources of road traffic noise had different variations and uncertainties using a random variable and probability distribution. The sound distribution to receptors by the apartment floor showed S curve between 1st floor and 15th floor With the normality test, the normal distributions using Anderson-Darling Test followed 1st, 3th, 13th and 15th floor in the daytime and all floors except 7th floor in the night (p>0.05). And also, the value of the pearson correlation coefficient (r) obtained in this study have significantly different at the range of floor. In conclusion, the results suggested that the distribution characteristics of levels of Leq1h on the sources and receptors of road traffic noise in apartment complex must be improved and developed on the guideline of regulation of road traffic noise.