• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2007.04a
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• pp.99-102
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• 2007

우리나라의 교통사고발생은 OECD국가 중 인구 10만명당 사망자 14.9명으로 29개국 중 25위로 최하위권에 머물러있는 실정이다. 본 연구는 현재 적용하고 있는 우리나라 도로구조시설기준에서 정지시거에 대한 기준이 현실적이지 못하다고 분석되었기 때문에 근거리사진측량을 이용하여 3차원 모델링하고 정지시거를 명확한 근거에 기준하여 이를 규명하고자 수행하였다. 따라서 본 연구는 도로 정지시거의 기준을 재정립하여 안전하고 쾌적한 도로설계 기준을 제시하는데 그 목적이 있다.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.3
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• pp.68-79
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• 2008

Ground vehicle borne system which is named RoSSAV(Road Safety Survey and Analysis Vehicle) developed in KICT(Korea Institute of Construction Technology) can collect road geometric data. This system therefore is able to evaluate the road safety and analyze road deficient sections using data collected along the roads. The purpose of this study is to extract road geometric data for 3D road modeling in dangerous road section and The system should be able to quickly provide more accurate data. Various sensors(circular laser scanner, GPS, INS, CCD camera and DMI) are installed in moving object and collect road environment data. Finally, We extract 3d road geometry(center, boundary), road facility and slope using integrated multi-sensor data.

• Journal of Environmental Impact Assessment
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• v.27 no.2
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• pp.105-113
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• 2018

The modeling of noise mapping and the evaluation of noise pollution based on the exposed population were frequently used as an indicator of environmental noise assessment to overcome the limitations of field survey and Tele-Monitoring System. Results from these methods were highly influenced by the setting of noise source, input data of prediction factors and analytical methods of predictive values. The population exposed to noise were estimated as M1-1>M2-1>Base>M2-2>M1-2 in both areas. The highest noise setting methods(M1-1, M1-2) were overestimated, being compared with the Base method.

• International Journal of Highway Engineering
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• v.10 no.3
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• pp.209-220
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• 2008

This paper presents the differences in the analysis results according to the underlying layer modeling methods when analyzing the curling behaviors of the concrete slabs on grade under environmental loads. The models of the slab on grade system considered in this study included a three-dimensional(3D) model, a model composed of 3D slab and springs for underlying layers, and a model composed of 2D slab and springs for underlying layers. First, when the underlying layer consisted of one layer, the curling behaviors according to the different models were compared. Then, the underlying layers that consisted of two different materials and thicknesses were considered. The results of this study showed that the tensionless spring model for the underlying layer gave very accurate results when the underlying layer consisted of one layer. However, when the underlying layers consisted of two layers, the spring model for the underlying layers could overestimate the displacements and underestimate the maximum stress with a large elastic modulus of upper underlying layer, a small elastic modulus of under underlying layer, and thick underlying layers.

• Computational Structural Engineering
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• v.5 no.3
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• pp.139-146
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• 1992

Vibrational behaviors of highway girder bridges due to heavy traffics are discussed, and empirical formulae for impact factors are suggested in this paper. Appropriate vehicle model for vibration analysis is found and impact factors are calculated with different surface roughnesses, vehicle speeds and span lengths. It is shown that the present codes tend to underestimate impact factors.

• Computational Structural Engineering
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• v.5 no.2
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• pp.87-91
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• 1992

Vibrational behaviors of highway girder bridges due to heavy traffics are discussed, and empirical formulae for impact factors are suggested in this paper. Appropriate vehicle model for vibration analysis is found and impact factors are calculated with different surface roughnesses, vehicle speeds and span lengths. It is shown that the present codes tend to underestimate impact factors.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.899-900
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• 2017

본 논문에서는 도로주행 영상 내에서 차선을 검출하는 알고리즘을 제안한다. 제안하는 알고리즘은 차량 내부 카메라로 촬영된 영상에 대하여 바타차야 거리를 이용해 차선 후보 영역을 검출한다. 검출된 영역에 대해 도로와 차선의 레퍼런스 RGB 값과의 바타차야 거리를 이용해 분류한 뒤, 차선이 갖는 특징을 모델링하여, 분류된 영역에서 차선으로 추정되는 영역만을 남긴다. 차선 영역 세그먼트의 흰 차선과 노란 차선의 클래스와의 유사도를 계산하여 검출된 차선정보를 제공한다.

• Korean Journal of Environment and Ecology
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• v.34 no.5
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• pp.466-482
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• 2020

This study used 3D computational fluid dynamics (CFD) in the ENVI-met program to investigate how particulate matters (PM) generated on roads disperse through adjacent urban neighborhoods according to the urban development pattern. An urban area centered on a six-lane road in the vicinity of Miryang City Hall in Gyeongnam Province was selected to simulate the effect of the green space and building height on the PM concentration. The ENVI-met model considered the presence of green space and different building heights (high/low) on both sides of the road to examine the dispersion of PM. The result showed that the area of high-rise buildings and green space had the lowest PM concentration dispersed to the adjacent area, followed by the area of high-rise buildings and no green space. In contrast, the PM concentration remained relatively high for low-rise buildings, regardless of the green space. The reason for the low PM concentration in the area with high-rise buildings was a strong building wind, which caused PM to disperse to the outside, lowering the PM concentration quickly. These results indicate that the PM can disperse faster, and the PM concentration remains low in the urban neighborhood. On the other hand, green space had no significant effect on reducing PM in the urban neighborhood. In particular, when there are low-rise buildings on both sides of the road, the green space has no effect on the PM concentration in the urban neighborhood. Since this study considered only the case of PM emitted from the road, future studies should investigate other factors to figure out the dispersion model of PM and conduct on-site experiments.

• Korean Journal of Construction Engineering and Management
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• v.5 no.2 s.18
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• pp.90-105
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• 2004

Machines for crack sealing automation have been continually developed since the early 1990's because of the effectiveness of crack sealing that would be able to improve safety, quality and productivity. It has been considered challenging problem to detect crack network in pavement which includes noise (oil marks, skid marks, previously sealed cracks and inherent noise). Moreover, it is required to develop crack network mapping and modeling algorithm in order to accurately inject sealant along to the middle of cut crack network. The primary objective of this study is to propose machine vision algorithms (digital image processing algorithm and path planning algorithm) for fully automated pavement crack sealing. It is anticipated that the effective use of the proposed machine vision algorithms would be able to reduce error rate in image processing for detecting, mapping and modeling crack network as well as improving quality and productivity compared to existing vision algorithms.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2000.11a
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• pp.183-190
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• 2000

철도교는 도로교와 달리 하중조건이 매우 다양하고 복잡하다. 특히 열차에 관계된 하중들은 일반적인 모델링에 대해 하중을 재하하기가 까다로울 뿐만 아니라, 그 해석 결과를 실 구조물의 설계에 반영하기에는 많은 논란이 되고 있다. 이에 본 연구에서는 철도교의 설계시 사용되는 열차에 관계된 하중들의 산정방법과 구조해석 모델링에 이러한 하중들을 재하하는 방법의 변화에 따른 구조해석 결과를 비교, 검토함으로써, 앞으로 수행되는 철도교의 설계에 기초자료를 제공하고자 한다.(중략)