• 한국도로학회:학술대회논문집
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• 한국도로학회 2009년도 추계학술대회 논문집
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• pp.63-66
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• 2009

• 분석과학
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• 제24권5호
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• pp.368-377
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• 2011

대기오염도와 소음의 연계성을 파악하기 위하여, 서울시 행정구역 중에서 6 개 구에서 각 1 지점씩 6 개 지점을 택하여 조사를 실시하였다. 그리고 세부적인 조사는 도로(road: RD)와 비 도로지점(nonroad: NR)으로 구분한 후 다시 활동 시간대(06:00-22:00)와 비 활동 시간대(22:00-06:00)로 나눈 후 비교 하였다. 소음 주파수 자료와 대기오염물질 농도와의 상관분석을 통하여 양자간의 연관성을 알아보고자 하였다. 시간대별 분석을 통해서는 양자간의 차이를 명확하게 구분하기가 어려웠다. 반면, 공간적 규모를 기준으로 상관분석을 실시한 결과, 전체 시간대에서 도로지역의 소음도와 대기질의 연관성은 비 도로 지역에 비해 높다는 것을 확인하였다. 활동기와 비 활동기로 구분하여 비교한 결과, 도로지역의 경우 활동기에서 비 활동기로 접어들면서 소음도와 대기질의 상관성이 줄어드는 것으로 나타났다.

• 한국대기환경학회지
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• 제28권1호
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• pp.94-104
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• 2012

The purpose of this research is to quantify the compliance of on-road emission from a light duty diesel vehicle, based on a comparison to emission regulation standard. $NO_x$, CO and THC emissions were measured using a portable device on a selected real-world driving route with a length of approximately 22 km. On-road measurements were repeated by 10 times on a same route to reflect variability in traffic conditions. A test route was divided into 22 road links with length of 1 km to analyze emission results with higher spatial resolution. The average emissions of $NO_x$, CO and THC over total travel distance, which is approximately 220 km, were quantified to be in compliance with emission regulation standards. Under higher spatial resolution, $NO_x$ concentration exceeded a standard in 92 links out of 220 links. The extended time in stop period and the stop-and-go driving cycle were identified as two important reasons for increased $NO_x$ emissions in observed cases. Heavy traffics showed higher $NO_x$ emissions than free flow. These results indicate that the real-world vehicle emissions might exceed the compliance level associate with traffic conditions. Another interesting observation of this research is that the on-road emission characteristics can be independent to the average speed of road links with higher spatial resolution. Variability in on-road emission might not be fully described by solely relying on an average speed, because variability in traffic conditions and road conditions can influence on real-world vehicle emissions.

• 한국물환경학회지
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• 제37권4호
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• pp.286-295
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• 2021

The removal efficiency of road-deposited sediment (SDR) by road sweeping was analyzed by performing particle size analysis before and after road sweeping at four highways during May to December 2019. The SDR accounted for the largest proportion in the range of 250 to 850 ㎛ and the degree of its proportion had an effect on the particle size distribution curve. The particle size distribution of the collected sediments showed a similar distribution at all sites. Below 75 ㎛, the removal efficiency of SDR showed a constant value around 40%, but above 75 ㎛, it increased as the particle size increased. The removal efficiency was 82-90% (average 86%) for gravel, 66-93% (average 79%) for coarse sand, 35-92% (average 64%) for fine sand, 29-69% (average 44%) for very fine sand, 19-58% (average 40%) for silt loading, 10-59% (average 40%) for TSP, 13-57% (average 40%) for PM10, and 15-61% (average 38%) for PM2.5. SDR removal efficiency showed an average of 69% for the four highways. It was found that if the amount of SDR was less than 100 g/m², it was affected by the road surface condition and had a large regional deviation. As such, the amount of SDR and the removal efficiency increased. The fine particles, which have relatively low removal efficiency, contained a large amount of pollutants, which is an important factor in water and air pollution. Therefore, various measures to improve the removal efficiency of fine particles in SDR by road sweeping are needed.

• 한국도로학회논문집
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• 제16권6호
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• pp.181-189
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• 2014

PURPOSES : Ambiguous decision on whether rural or urban area for road design can increase the construction cost and restrict the land use of surrounding area. However, administrative classification on rural and urban area is not directly related to road design because of this classification is not based on the engineering viewpoint, so method which can explain the road design context is required. METHODS : Method which enables to identify the area for road design is suggested based on the deceleration expected to be experienced by drivers who use the road section concerned. Deceleration rate corresponding to the area such as rural or urban suggested in Road Design Guideline is used as the criteria to identify the area by comparing this value with the estimated deceleration rate at the road section concerned. Speed profile method is utilized to derive the deceleration rate, and speed estimation way for reflecting both road geometry and intersection is suggested using stopping sight distance concept. RESULTS : The procedure of the method application is suggested, and the design example utilizing the method is provided. CONCLUSIONS : The method is expected to be used to identify the area for road design with engineering viewpoint, and design consistency among the roads with similar driving environment can be made.

• 한국전기전자재료학회논문지
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• 제37권3호
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• pp.314-321
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• 2024

Low road lighting is a lighting device that complements the shortcomings of existing pillar-type street lights. It is a lighting device that emits light from the side of the road surface and adjusts the luminance of the road surface like a light carpet. In this paper, to achieve full commercialization, we analyzed the luminance of the installed road surface and studied whether lighting could replace existing road lighting. In this study, the LMK (Luminance Measurement Camera) LABSOFT program was used to measure and analyze the surface luminance of road lighting, and the RELUX program was used to evaluate and analyze the simulation performance to determine light-based lighting conditions. A study was conducted to determine whether replacing pillar-type road lighting with low-level road lighting in a real environment would ensure comfortable and safe night vision for drivers at night.

• 한국도로학회논문집
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• 제16권3호
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• pp.67-74
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• 2014

PURPOSES : This study is to investigate the countermeasures against heavy snow on road in Seoul: Focusing on Seocho 1-dong. METHODS : Since 2000, three cases of the top 10 in the highest snow fall depth in a day occurred in 2001(234mm, 156mm) and 2010(258mm) and the possibility of heavy snow is getting higher. 10 days after heavy snow fall when the snow thaws, socio-economic damages occurred often. For example, the insufficient snow removing, difficulty in patients transfer, crash accidents, injuries from a fall, the increasing cost of snow removing etc. RESULTS : For the effective deploying snow removing equipment and workers, it is necessary to understand emergency snow removing spots. Seocho 1-dong was tested because it contains mountains, hill and urban areas as well as various buildings and road types exposures. CONCLUSIONS : Based on the domestic and international heavy snow researches, the elements for vulnerability were analyzed and vulnerable areas to snow fall were derived.

• KIEAE Journal
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• 제4권3호
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• pp.95-101
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• 2004

As a part of acoustical design, it is often necessary to quantify aspects of an existing environment and to predict the result of adding an acoustical treatment. The most common sources of exterior noise, also termed as environmental noise,(or community noise) are traffic noise, air craft noise, industrial noise, etc. Transportation(air, road, and rail)noise is the dominant and most common source of noise exposure in residential neighborhoods, and the annoyance is its most consequential effect. The road traffic noise becomes aggravated due to the rapid increase of vehicles. It has a great effect on the dwelling environment. Therefore we investigate the characteristics and sources of the road traffic noise through grasping the status of the road traffic noise. In the present study, preceding studies investigated the noise level of urban areas in Seoul were reviewed and the noise level of urban areas in Seoul was measured at first, fifth, tenth, and nineteenth floor for two days of weekdays and two days of weekend.

• Journal of Forest and Environmental Science
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• 제32권1호
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• pp.1-9
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• 2016

Accessibility of urban green space, as an important index of evaluating the service level of urban green space, not only shows the resident's access to green space, but also reflects the environment quality of urban living. Since the quantity, area and space distribution of the patches in urban green space directly affect the function of urban green space and the quality of urban environment, the research on the accessibility of urban green space holds great significance to improve the service of urban green space and the living environment quality. Based on GIS software, this research uses the road network and the population distribution data of Nanjing's city proper to conduct quantitative analysis of the accessibility of park green space and the convenience for residents to travel under different forms of transportation. After the case analysis, the author tests the application of road network in studying the accessibility of urban park green space and proposes a GIS-based method to study the accessibility and the rational layout of urban green space.

• 대한임베디드공학회논문지
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• 제17권5호
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• pp.273-280
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• 2022

Along with the advancement of deep learning technology, securing high-quality dataset for verification of developed technology is emerging as an important issue, and developing robust deep learning models to the domestic road environment is focused by many research groups. Especially, unlike expressways and automobile-only roads, in the complex city driving environment, various dynamic objects such as motorbikes, electric kickboards, large buses/truck, freight cars, pedestrians, and traffic lights are mixed in city road. In this paper, we built our dataset through multi camera-based processing (collection, refinement, and annotation) including the various objects in the city road and estimated quality and validity of our dataset by using YOLO-based model in object detection. Then, quantitative evaluation of our dataset is performed by comparing with the public dataset and qualitative evaluation of it is performed by comparing with experiment results using open platform. We generated our 2D dataset based on annotation rules of KITTI/COCO dataset, and compared the performance with the public dataset using the evaluation rules of KITTI/COCO dataset. As a result of comparison with public dataset, our dataset shows about 3 to 53% higher performance and thus the effectiveness of our dataset was validated.