• 한국정밀공학회지
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• 제24권1호
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• pp.37-46
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• 2007

The vibration environment essentially companied by vehicle operation on the ground is determined by the shape of road surface, which is called profile. This paper focuses on development of a profile and severity measurement system for unpaved test courses. In general, the profile and severity of unpaved road is an important issue in the reliability of endurance test. In order to measure unpaved road profile and severity, it is necessary to develop a profilometer system. The developed profilometer system is composed of data processing computer, power unit, air compressor and sensors(encoder, vertical gyro and laser displacement) This paper presents the measuring system configuration, measurement principle of road profile and analysis method of road characteristics used at CPG(Changwon Proving Ground) for this purpose.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2019년도 추계 학술논문 발표대회
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• pp.124-125
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• 2019

The use of road cutters in the maintenance of obsolete underground facilities maintains polluting dust, cutting sludge, etc, polluting the air environment, soil, and water, causing civil complaints caused by noise, and consequently interrupting work. Therefore, it is time for eco-friendly pavement cutting technology for fugitive dust and cutting sludge emission management and noise management. This study was based on research by the development of eco-friendly pavement cutting technology in urban areas. In this study, the current state of existing road cutters is investigated and the patented technology analysis of road cutters is conducted to derive the design elements of eco-friendly pavement cutting technology.

• 대한토목학회논문집
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• 제38권4호
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• pp.587-593
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• 2018

현재 널리 사용되고 있는 도로교통소음 예측프로그램들은 국외 예측모형을 바탕으로 제작된 것이 대부분이다. 이에 본 연구에서는 국내 도로교통환경에 적합한지를 알아보기 위해 국외 예측모형에 대한 검증을 수행하였다. 또한, 예측모형마다 도로교통소음 발생에 대한 영향요인이 다르기 때문에 주요 요인들에 대한 분석 및 고찰을 선행하였다. 본 연구에서는 도로교통소음 예측 시 사용되고 있는 영향인자와 기존 예측모형에 대하여 고찰하고, 교통환경 및 도로기하구조를 고려하여 주행차량의 발생 소음에 영향을 미치는 영향인자와의 관계를 다중회귀분석을 통한 예측모형으로 도출하였다. 나아가 기존의 도로교통소음 예측모형(국립환경과학원(NIER), 독일의 RLS-90)과 도출된 도로교통소음 예측모형의 실측값을 적용하여 비교 검증 결과, 오차의 절대값 합은 NIER, RLS-90, 모형값 순으로 나타났다. 따라서 본 모형식이 향후 도로교통소음 예측 모델링에 대한 연구의 참고자료로 활용할 수 있는 기틀을 제공하고자 한다.

• 한국건설관리학회논문집
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• 제15권6호
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• pp.83-91
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• 2014

최근의 국제사회는 경제성장에 따른 기상이변을 방지하고자 이산화탄소, 온실가스 등의 환경 오염물질 배출 저감을 요구하고 있다. 이러한 요구사항에 따라 에너지 다소비 산업 가운데 도로건설에 대한 효율적인 환경오염물질 배출 저감 방안이 요구된다. 본 논문에서는 전과정 영향평가의 절차에 적합한 도로건설공사 환경영향평가 프로세스를 제시하고, 이를 바탕으로 다수의 도로건설공사에 대하여 주요 건설자재의 환경부하량을 분석한 후, 1km 도로건설공사에서 발생하는 평균 환경부하량을 제시하고 있다. 주요자재수량에 대해서는 환경부하량에 대한 민감도 분석을 실시하였으며, 이러한 분석결과는 도로건설공사의 공법 및 자재별 수량 변화에 따른 전과정 환경영향평가에 유용하게 활용될 수 있을 것으로 판단된다.

• International Journal of Automotive Technology
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• 제4권2호
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• pp.101-108
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• 2003

There are a lot of factors that influence automotive fuel economy such as average trip time per kilometer, average trip speed, the number of times of vehicle stationary, and so forth. These factors depend on road conditions and traffic environment. In this study, various driving data were measured and recorded during road tests in Seoul. The accumulated road test mileage is around 1,300 kilometers. The objective of the study is to identify the driving patterns of the Seoul metropolitan area and to analyze the fuel economy based on these driving patterns. The driving data which was acquired through road tests was analysed statistically in order to obtain the driving characteristics via modal analysis, speed analysis, and speed-acceleration analysis. Moreover, the driving data was analyzed by multivariate statistical techniques including correlation analysis, principal component analysis, and multiple linear regression analysis in order to obtain the relationships between influencing factors on fuel economy. The analyzed results show that the average speed is around 29.2 km/h, and the average fuel economy is 10.23 km/L. The vehicle speed of the Seoul metropolitan area is slower, and the stop-and-go operation is more frequent than FTP-75 test mode which is used for emission and fuel economy tests. The average trip time per kilometer is one of the most important factors in fuel consumption, and the increase of the average speed is desirable for reducing emissions and fuel consumption.

• 해양환경안전학회지
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• 제25권3호
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• pp.320-327
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• 2019

The purpose of this paper is to compare seafarers' behavior according to traffic conditions of a road and an onshore locations. Behaviors are classified into three categories: Skill-, Rule- and knowledge-based mode. Experimental data were collected using the questionnaires for navigators, working in a merchant ship. To compare the behaviors, we used the four analysis method; the degree of frequency, reliability test, correlation and linear regression. As a result of the study, it was found that Skill-based behavior shows more higher in the road traffic than the maritime traffic, and rule-based behavior shows more higher in the maritime traffic than the road traffic. Also, the behavior in the navigation situation showed statistical significance. Especially, in the case of Rule-based behavior, a high correlation between road and maritime was found. This study can be expected to apply to complementary system utilization between error management system of onshore and maritime traffic.

• 한국항행학회논문지
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• 제16권6호
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• pp.944-951
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• 2012

위성항법의 가시성, Dilution of Precision (DOP), 신호대잡음비 등과 같은 위치결정 성능지표는 개활지 환경과 같이 항법위성의 가시성이 좋은 지역에서 그 활용도가 높으며, 육상교통환경의 경우 그 활용도가 낮다. 본 논문은 육상교통환경에서 위성항법 신호를 활용하여 위치결정을 수행하는 경우 활용도가 높은 성능지표로 Sky View based DOP (SVDOP)을 제안한다. SVDOP은 Sky-View Factor(SVF)를 응용하여 개발되었으며, 기존의 SVF의 문제점을 극복할 수 있다. Sky-View 영상을 활용하여 특징점을 선택하고 이를 활용하여 DOP를 계산할 수 있다. 제안된 방법을 이용하는 경우 SVF 사용보다 육상교통환경에서 위치결정 성능 예측에 용이함을 확인할 수 있다.

• 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.

• 한국소음진동공학회논문집
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• 제20권2호
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• pp.172-178
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• 2010

The multiple regression analysis and path analysis in each dominant area of noise source are conducted to analyze the relationship between dependent variables like annoyance and independent ones such as noise and non-noise factors. The multiple regression analysis shows that impact of noise factors is the highest to annoyance in dominant areas of road traffic and railway noise. Meanwhile, impact of non-noise factors such as sensitivity and satisfaction of environment on annoyance is also high in these areas. The path analysis result for multivariate analysis between various independent and dependent variables is similar to that of the multiple regression analysis. However, noise factor is the greatest factor influent on annoyance in the dominant areas of the combined noise, and relationship between annoyance and sensitivity is the highest in combined area exposed to road traffic noise and railway noise.