• 한국환경복원기술학회지
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• 제11권5호
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• pp.92-103
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• 2008

Development of new approaches to achieve naturally good ecological potential of forest road cut-slope by making the best use of advantages of gabion systems with vegetation base materials to prevent slope failure and erosion, in the area with highly erodible soil. As a result on the type analysis of gabion systems already installed in road cut-slopes, gabion systems were generally established to prevent slope failure. Existing gabion systems can be divided into monolithic and modular system and can be divided into ten subtypes according to the purpose of establishment and combination of other measures. As a result on the monitoring of erosion amount from forest road cut-slopes in the test applications, the order of erosion amount from largest to smallest is as follows : the curved road cut-slope site where normal gabion system was established ($7,911cm^3$); the control site ($7,632cm^3$); the straight road cut-slope site where normal gabion system was established ($7,301cm^3$); the curved road cut-slope site where the new gabion system was established ($5,684cm^3$); and the straight road cut-slope site where the new gabion system ($5,325cm^3$). Therefore, the result shows that the new gabion system is more effective than the normal gabion system to reduce erosion amount from forest ! road cut-slopes. During the study period, vegetation coverages of the straight and curved road cut-slope site where the new gabion system was established were about 45% and about 36%, so average vegetation coverage of the sites where the new gabion systems was established was higher than the sites where the normal gabion systems was established. Therefore, it was concluded that the new gabion system can be more effective for cut-slope revegetation.

• 전기전자학회논문지
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• 제5권1호
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• pp.75-84
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• 2001

도로 노면상태와 관련된 신뢰성 있는 데이터는 도로 유지 및 관리 당국과 운전자에게 도로 노면상태에 대한 정보를 제공하기 위해 그 중요성이 날로 증대하고 있다. 본 논문은 새로운 고속의 자동 노면 데이터 획득장치의 개발에 관한 것이다. 개발된 장치는 100km/h의 주행속도에서 도로노면 청단 전체 폭에 대해 30cm 간격으로 종단 노면 데이터를 수집하고, 수집된 데이터로부터 국제평탄성지수(IRI)를 계산하여 노면요철 데이터와 함께 스크린상에 디스플레이 한다. 이 같은 시스템의 구현을 위해 광학적 거리측정기, 계측차량의 진행거리 및 움직임 계측기, 데이터 처리 및 디스플레이 모듈을 고안하였다. 70km/h의 주행 속도로 측정한 결과, 개발된 시스템의 측정 정확도는 표준 노면에 대해 IRI에서 ${\pm}0.1m/km$ 정도의 오차를 보이는 것으로 나타났다. 또한, 개발된 장비의 성능을 검증하기 위해 이미 포설된 노면에 대한 측정을 수행하여 기존 장비 및 육안 측정 결과와 비교하였다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 추계학술대회 논문집
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• pp.265-268
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• 1997

In the recent day, fatigue life prediction techniques play a major role in the design of components in the ground vehicle industry. Full scale durability testing in the laboratory is an essential of any fatigue life evaluation of components or structures of the automotwe vehicle. Component testing is part~cularly important in today's highly competitive industries where the design to reduce weight and production costs must be balanced with the necessity to avoid expensive service failure. Generally, multi-axial road simulator is used to carry out the fatigue test and the vibration test. In this paper, the algorithm and software to realize the real road profile are developed. The validity of the software are verified by applying the belgian road, the city road, the highway, and the gravel road. The results of the above experiment show that the real road profiles are realized well after loth iteration.

• 농촌계획
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• 제16권1호
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• pp.21-33
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• 2010

Although there have been carrying out various rural development projects related with village road improvement, most of village roads in Korea are under much poor condition. However, until now, their actual conditions have not been surveyed at all. So, this study aimed at analysing the actual conditions and characteristics of rural village roads in the general terms to provide the basic information for the proper improvement policy-making. Case study villages were chosen in flat/mountainous/seashore/suburban areas, which be then classified as improved and not. In terms of road length per household, mountainous villages are highly dispersed and suburban ones moderately dispersed, while flat ones aggregated. Road widths in seashore/suburban/structure improved villages are narrower than flat/mountainous ones. Because about a quarter of road sites are registered as non-road, more positive scheme for transferring non-road sites into road ones.

• 한국전기전자재료학회논문지
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• 제32권6호
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• pp.466-471
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• 2019

Road photovoltaic power generation is a technology that combines photovoltaic power generation while maintaining the function of the existing road by installing special photovoltaic modules on it. In this paper, we developed three types of modules and structures suitable for sidewalk blocks and element technology for the development of a solar road module for a sidewalk and bicycle road. The road solar potential in Korea is 10 GW. After analyzing the daily data obtained after the construction of a 10 kW solar road testbed, it was found that its utilization rate compared to the general photovoltaic energy is 80%.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2008년도 춘계학술발표대회
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• pp.443-446
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• 2008

전국의 주요 도로에 센서를 설치하여 교통정보를 수집하고 가공하여, 사용자인 일반 국민, TSP, 공공기관들에게 양질의 교통정보를 제공하기 위한 교통정보 수집/제공시스템의 데이터 연계/통합 모델을 제안하였다. 제안된 모델은 기존에 구축되어 있는 교통정보센터를 연계/통합하기 위하여 향상된 EAI 기술과 교통정보 교환기술 표준을 적용하여 서버간의 효율적인 통신을 가능하게 해준다.

• 도로교통
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• 통권93호
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• pp.6-13
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• 2003

• 한국자동차공학회논문집
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• 제22권3호
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• pp.12-18
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• 2014

This paper describes about the development of new concept's rear wheel guards for the reduction of Road Noise in the passenger vehicle using test. The new wheel guards are proposed by various frequency chamber concept and different textile layers concept. Two wheel guards were verified by small cabin resonance test and vehicle test. Through new developing process without vehicle test, Result of road noise will be expected when new concepts and materials of wheel guard is applied into automotive vehicle. As a result of the application of Aimed Helmholtz and Multi-layers concept, this paper classifies the road noise, cost and weight are reduced by new concepts and the solutions are adopted into the 2 cars.

• 한국도로학회논문집
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• 제17권3호
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• pp.59-68
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• 2015

PURPOSES : This study suggests the application of glow line marking technology for reducing traffic accidents at nighttime. METHODS : In this study, using a statistical analysis, we analyzed the characteristics of traffic accidents occurring at nighttime. Next, the strength, weakness, opportunity, and threat (SWOT) factors were derived based on a current-status analysis of glow line marking technology and road environments. An SO strategy, ST strategy, WO strategy, and WT strategy were established in accordance with the four SWOT factors. RESULTS : This study suggests that the following strategies should be promoted to apply glow line marking technology to a road environment: 1) an activation strategy for the technological development of glow line markings for a new paradigm in reducing traffic accidents, 2) a benefit enhancement strategy applying glow line marking technology in places where nighttime traffic accidents frequently occur, 3) a strategy for the expansion of glow line marking by replacing streetlights, and 4) a strategy for enhancing road applications through the development of various line marking methods in consideration of both performance and costs. CONCLUSIONS : The application of glow line markings in a road environment can contribute to a reduction of traffic accidents at nighttime, and aid energy savings from the replacement of streetlights.

• 시스템엔지니어링학술지
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• 제1권2호
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• pp.26-33
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• 2005

In this paper, an algorithm is presented to recognize road based on unpaved test courses image. The road images obtained by a video camera undergoes a pre-processing that includes filtering, gray level slicing, masking and identification of unpaved test courses. After this pre-processing, a part of image is grouped into 27 sub-windows and fed into a three-layer feed-forward neural network. The neural network is trained to indicate the road direction. The proposed algorithm has been tested with the images different from the training images, and demonstrated its efficacy for recognizing unpaved road. Based on the test results, it can be said that the algorithm successfully combines the traditional image processing and the neural network principles towards a simpler and more efficient driver warning or assistance system.