• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(4)
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• pp.69-72
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• 2000

This study proposes a new calculation method for generating real nighttime lamp-lit images. In order to improve the color appearance in the prediction of a nighttime lamp-lighted scene, the lamp-lit image is synthesized based on spectral distribution using the estimated local spectral distribution of the headlamps and the surface reflectance of every object. The principal component analysis method is introduced to estimate the surface color of an object, and the local spectral distribution of the headlamps is calculated based on the illuminance data and spectral distribution of the illuminating headlamps. HID and halogen lamps are utilized to create beam patterns and captured road scenes are used as background images to simulate actual headlamp-lit images on a monitor. As a result, the reproduced images presented a color appearance that was very close to a real nighttime road image illuminated by single and multiple headlamps.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권2호
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• pp.841-854
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• 2020

The paper explains the method to process, analyze and predict traffic patterns in Los Angeles county using Big Data and Machine Learning. The dataset is used from a popular navigating platform in the USA, which tracks information on the road using connected users' devices and also collects reports shared by the users through the app. The dataset mainly consists of information about traffic jams and traffic incidents reported by users, such as road closure, hazards, accidents. The major contribution of this paper is to give a clear view of how the large-scale road traffic data can be stored and processed using the Big Data system - Hadoop and its ecosystem (Hive). In addition, analysis is explained with the help of visuals using Business Intelligence and prediction with classification machine learning model on the sampled traffic data is presented using Azure ML. The process of modeling, as well as results, are interpreted using metrics: accuracy, precision and recall.

• 전자공학회논문지B
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• 제32B권1호
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• pp.154-160
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• 1995

Maps are one of the most complicated types of drawings. Drawing recognition technology is not yet sophisticated enough for automated map reading. To automatically extract a road map directly form more complicated topographical maps, a very complicated algorithm is needed, simce the image generally involves such complicated patterns as symbols, characters, residential sections, rivers,etc. This paper describes a new feature extraction method based on the human optical neural field. We apply this method to extract complete set of road segments from topographical maps. The proposed method successfully extract road segments from various areas.

• 한국농촌건축학회논문집
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• 제9권2호
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• pp.41-48
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• 2007

This paper aims to clarify the Spatial Form of the Port Settlement of Rivershore in Nakdong-river. The web of road is composed of three basic elements, kyeongjeon-seon railroad, inner old coastal street, a narrow gauge railway. The basic road system is composed of Hon-machi dori (Main street) parallel to the coastal line and three perpendicular roads. According to these road patterns, plot of the lands in the block are formed into distinctive trapezoidal shape. To conclude, the Spatial Form of Samrangjin's Port Settlement might explain as a relation of Rivershore's shape and marketplace's spatial form.

• 전자공학회논문지B
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• 제32B권11호
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• pp.1496-1505
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• 1995

Maps are one of the most complicated types of drawings. Drawing recognition technology is not yet sophisticated enough for automated map reading. To automatically extract a road map dircetly from complicated topographical maps, a very sophisticated algorithm is needed, since the image generally involvfes such complicated patterns as symbols, characters, residential sections, rivers, railroads, etc. This paper proposes a new feature extraction method based on the morphology. We apply this method to extract complete set of road segments from topographical maps. The proposed method successfully extract road segments from various areas.

• 환경영향평가
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• 제14권6호
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• pp.427-441
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• 2005

In order to choose proper dispersion model and emission factors suitable in Korea in evaluating the effect of pollutants emitted by the vehicles in highway on nearby area, various road dispersion models and vehicle emission factors were reviewed. With theoretical inter-comparisons of the exiting models for line source, CALINE 3 and CALINE 4 models which were suggested by US EPA were selected as the road dispersion models for further evaluation with the measurement. The emission factors suggested by Korean Ministry of Environment was turned out to be appropriate since the classification of vehicle kinds was simple and easy to apply in Korea. The comparisons of predicted concentrations by CALINE 3 and 4 models with the measurements in flat, fill and bridge road types showed that CO and PM-10 were in good agreements with experiments and the differences between CALINE 3 and 4 models are negligible. The model concentrations of $NO_2$ by CALINE 4 were also in good agreement with the measurement but those by CALINE 3 were over-predicted. The discrepancies in CALINE 3 model were due to rapid decay reaction of $NO_2$ near the highway, which was not included in CALINE 3 model. For the road type with one & two side cutting grounds, the similar patterns as the flat & fill road type for CO, PM10, & $NO_2$ were observed but the number of data for comparison in these cases were not enough to draw the conclusion. These results lead to the conclusion that CALINE4 model is proper in road environmental impact assessment near the highway in flat, fill and bridge road types.

• 한국음향학회지
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• 제12권3호
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• pp.43-48
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• 1993

This study was carried out to verificate the possibility of using the laboratory setting psycho-acoustic experiment compared with the field and to delineate the appropriate indices in evaluating the Noisiness of road traffic noise by means of psycho-acoustic method. Reviewing the typical patterns of traffic noises depending upon the shapes ad conditions of the road, the road traffic noises in several representative points in the major residential areas in Kwangju city were recorded and reproduced with the noise levels modified in various steps. With these 20 sound sources, psycho-acoustic experiments in the laboratory were performed on 11 volunteer subjects. And then, psycho-acoustic experiments in the real field were performed on 10 volunteer subjects to compare the results of the laboratory experiment, the results are summerized as follows : 1. The psycho-acoustic experiments in the laboratory elicited the data well matching with those obtained in the field, resulting in even higher corelation levels. This indicates that the field assessement of responses to the noise can be replaced by the evaluatioin in the laboratory settings which render many variables easily controlled and that the responses of the residents to the noise can be easily predicted in the laboratory by applying this method. 2. Also among the complex indices, such as Noise Pollution Level or Annoyance Index high correlations were detected. On the other hand, low corelations were noted among Traffic Noise Index. 3. Highly significant correlations were found among the direct indices such as Leq, L\sub 10\, On the other hand, low correlations were detected among L\sub 50\.

• 한국정보처리학회논문지
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• 제1권4호
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• pp.452-460
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• 1994

정보의 다양화와 고도화에 따라 지도정보 시스템 구축에 대한 요구가 급격히 대두 되고 있다. 본 논문에서는 생체 시각신경계(Opitcal Neural Field)의 처리과정에서 시 각영역의 특징추출 기구인 수용영역 즉, RF(Receptive Field) 모델을 이용하여 지도도 형의 도로정보를 추출하는 방법을 제안한다. 지형도에는 각종화상 정보가 다양하게 중 첩 포함되어 있는데 대한 복잡한 정보의 분리추출과 계층화 및 데이터베이스화등 시각 적으로 더욱 명백한 처리과정이 필요하다. 본 기법의 특징은 일반적인 처리과정에서 사용한 평행선 추출수법과 윤곽선 추출방법과는 달리 새로운 접근에 의한 특징추출방 법으로 국소적인 처리에서 얻어진 도로정보를 대국적인 처리로 통합 추출하는 것으 로서 실제 국립 지리원에서 발생한 1/25000 지도에 적용하여 가능성을 확인할 수 있었다.

• 한국지리정보학회지
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• 제27권2호
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• pp.1-18
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• 2024

본 연구는 서울시에서 도로 방향과 가로수 식재형태가 여름철 도시 열환경에 미치는 영향을 분석하여 최적의 식재방식을 찾는 것을 목표로 하였다. 컴퓨터 시뮬레이션 프로그램 ENVI-met을 이용하여, 도로 4방향과 가로수 식재형태에 따라 68가지 시나리오를 수행하였다. 그 결과, 수목 식재 시 기온, 평균복사온도, 인간 열환경지수가 개선되는 것으로 나타났다. 평균복사온도의 감소는 도로와 접한 건물에 의한 태양 복사에너지 차단과 수목의 그늘효과에 기인하였으며, 도로방향은 풍속 감소에 영향을 주는 것으로 나타났다. 모든 시나리오에서 낮은 수고(6m), 넓은 수관폭(9m), 높은 엽면적 지수(3.0), 좁은 식재간격(8m)일 때 가장 큰 열환경 개선효과를 보였다. 도로 방향은 동-서 방향의 북측 보도에서 열환경이 가장 크게 개선되었다. 본 연구는 컴퓨터 시뮬레이션을 이용해 현실도시공간과의 차이를 감안해야 하고, 현장 실측과 더 많은 변수 고려를 통한 추가연구가 필요하다.

• 한국물환경학회지
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• 제20권5호
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• pp.494-499
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• 2004

Growth in population and urbanization has progressively increased the loadings of pollutants from non-point sources as well as point sources. Therefore, it is necessary to manage both point and non-point sources contaminations for protecting water environment and improving water quality. This study investigated the characteristics of pollutant release over a wide range of rainfall intensities as a requisite to control road runoff that accounts for the largest portion of non-point source contamination in urban areas. Samples of runoff rainwater collected from real road surfaces were analyzed for physicochemical parameters such as pH, suspended solids, and heavy metals. A experimental model road ($30cm{\times}30cm$) was also used to evaluate wash-off properties of pollutants deposited on the surface as functions of time and rainfall intensity. Analysis of runoff samples on rain events showed that the pollutant wash-off patterns for heavy metal and suspended solids were similar. This implies that the particles in rainwater adsorb heavy metals. Experiments using the model road made of impervious asphalt demonstrate a strong first flush phenomenon. At high rainfall intensity, approximately 80% of total pollutants were released within 15 min. The pollutant wash-off rates rapidly increase from 9 mm/hr to 12 mm/hr of rainfall intensity and decrease over 12 mm/hr of rainfall intensity.