• 농촌계획
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• 제9권3호
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• pp.25-34
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• 2003

This study was carried out to propose some useful advices for the improvement policy of the minor rural roads. For the detailed case studies on structural improvement level of the minor rural roads, 5 county areas in Chonnam Province were selected ; Damyang (peri-urban), Gurye(remoter mountainous), Jindo(remotest island), Yuongam(intermediate flat) and Bosung (intermediate semi-mountainous). In each county, the official survey data on pavement types, widths and ratios of district(Myun in Korean) and parish(Ri in Korean) roads were collected. There were no apparent differences between district and parish roads in terms of structural improvement level, while the former was ranked higher than the latter in the minor rural road improvement law, so, the present hierarchial classification system of rural roads should be readjusted. And above a third of minor rural roads in the case study areas did not meet the statutory minimum level of road width, which means the necessity of substantial upgrade of road improvement works in rural areas.

• Smart Structures and Systems
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• 제32권5호
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• pp.309-318
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• 2023

The appropriate maintenance of highway roads is critical for the safe operation of road networks and conserves maintenance costs. Multiple methods have been developed to investigate the surface of roads for various types of cracks and potholes, among other damage. Like road surface damage, the condition of expansion joints in concrete pavement is important to avoid unexpected hazardous situations. Thus, in this study, a new system is proposed for autonomous expansion joint monitoring using a vision-based system. The system consists of the following three key parts: (1) a camera-mounted vehicle, (2) indication marks on the expansion joints, and (3) a deep learning-based automatic evaluation algorithm. With paired marks indicating the expansion joints in a concrete pavement, they can be automatically detected. An inspection vehicle is equipped with an action camera that acquires images of the expansion joints in the road. You Only Look Once (YOLO) automatically detects the expansion joints with indication marks, which has a performance accuracy of 95%. The width of the detected expansion joint is calculated using an image processing algorithm. Based on the calculated width, the expansion joint is classified into the following two types: normal and dangerous. The obtained results demonstrate that the proposed system is very efficient in terms of speed and accuracy.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1996년도 추계학술대회 학술발표 논문집
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• pp.198-207
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• 1996

Electro sensitive traffic system can't consider passenger car unit, so, it causes start up delay time and passenger waiting time. In this paper, it antecedently creates optimal traffic cycle of passenger car unit at the bottom traffic intersection. But, sometimes it can make mistakes due to changes in car weight, car speed, and control of feed-back data. Moreover, to prevent spillback, it can adapt control even though upper traffic intersection has a different saturation rate, road length, road slope and road width.

• 한국군사과학기술학회지
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• 제20권2호
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• pp.231-237
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• 2017

The profile of unpaved road is an important issue in the reliability of endurance test. Efforts on measuring 2D road profile and analyzing the severity have been continued in the study of performing reliable endurance test evaluations through reflecting the results of such measurement and analysis. However, 2D road profile has limitation in measuring the profile in the road width direction because data is obtained along the trailer wheel track. Therefore, in order to measure 3-dimensional shape of road surface and construct severity DB of 3D road profile, Changwon Proving Ground(CPG) of Agency for Defense Development(ADD) developed 3D profilometer which is composed of laser scanner, IMU, GPS, encoder and so on. This paper focuses on the analysis of unpaved road severity using 3D road profile for army operation roads. This results will be used to manage test courses severity of CPG.

• 한국도로학회:학술대회논문집
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• 한국도로학회 2010년 추계학술대회 논문집
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• pp.311-314
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• 2010

• 한국도로학회논문집
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• 제18권3호
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• pp.59-65
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• 2016

PURPOSES : This paper aims to develop a road pavement de-icing system using carbon sheet to replace the older snow de-icing method. Carbon sheet is a light and high-strength metal. Hence, various bodies of research for its applications in many industries have progressed. METHODS : The experiment was conducted in a laboratory. The carbon sheet supplied voltage through a power supply system, and produced heat transfers to the concrete surface. Various factors, such as pavement material, carbon sheet width, penetration depth, and freezing-thawing resistance, were considered in the conducted experiments to confirm the heating transfer efficiency of the carbon sheet. RESULTS : The carbon sheet used was a conductor. Therefore, it produced heat if voltage was supplied. The exposed carbon sheet on the atmosphere did not affect the carbon sheet width when it provided constant voltage. However, the sheet showed different heating behaviors by width change when the carbon sheet penetrated into the concrete. Moreover, the freezing-thawing resistance was decreased by the carbon sheet with increasing width. CONCLUSIONS : The experiments confirmed the possibility of developing a road snow melting system using a carbon sheet. The antiicing system using the carbon sheet to replace the traditional anti-icing system has disadvantages of environmental pollution risk and electric leakage. The pavement also improved its toughness resistance. The utilization value will be very high in the future if carbon sheet heat loss can be minimized and durability is improved.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2007년도 춘계학술발표회 논문집
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• pp.413-416
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• 2007

To construct road spatial information database, it is the main object of this study that an analysis of road factors and furthermore this is used to the rescue activities in case of urban disasters. When urban disasters such as earthquake or explosion cause fire and collapses people of the affected region happen to evacuate. But only to manage roads and monitor traffic volume, the road data is designed and managed using digital topographic map so it is short that the design of road spatial data to prevent disasters. In this study, we tried to suggest the evaluative factors of evacuation to design database : road width, traffic volume, the fixed or movable obstacles installed, the surrounding environments that dominate the land-use planning, the uses, materials, structures, sizes, and densities of the buildings. Thus, these could provide fundamental data to determine the disasters management planning for evacuation and rescue activities, to evaluate the riskiness, and to draw up hazard information map.

• 한국측량학회지
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• 제20권3호
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• pp.235-242
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• 2002

고해상도의 IKONOS 위성 영상데이터로부터 도로 정보를 판독.추출하고 그 정확도를 분석하고자 하였다. RFM을 이용하여 기하보정영상을 생성한 후, 이 영상으로부터 도로를 판독하고 스크린디지타이징 하였다. 도로 판독 및 추출 정확도를 평가하기 위하여 도로 경계선의 위치와 도로 폭을 수치지도와 비교한 결과, 도로 경계선은 $\pm$3.4m, 도로의 폭은 $\pm$1.1m의 정확도로 추출되었다.

• Structural Engineering and Mechanics
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• 제11권3호
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• pp.259-272
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• 2001

The impact behavior of a multigirder concrete bridge under single and multiple moving vehicles is studied based on correlated road surface characteristics. The bridge structure is modeled as grillage beam system. A 3D nonlinear vehicle model with eleven degrees of freedom is utilized according to the HS20-44 truck design loading in the American Association of State Highway and Transportation Officials (AASHTO) specifications. A triangle correlation model is introduced to generate four classes of longitudinal road surface roughness as multi-correlated random processes along deck transverse direction. On the basis of a correlation length of approximately half the bridge width, the upper limits of impact factors obtained under confidence level of 95 percent and side-by-side three-truck loading provide probability-based evidence for the evaluation of AASHTO specifications. The analytical results indicate that a better transverse correlation among road surface roughness generally leads to slightly higher impact factors. Suggestions are made for the routine maintenance of this type of highway bridges.

• 한국컴퓨터정보학회논문지
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• 제20권7호
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• pp.25-32
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• 2015

In this paper, we propose a license plate detection method of running cars in various road images. The proposed method first classifies the road image into day and night images to improve detection accuracy, and then the tail-light regions are detected by finding red color areas in RGB color space. The candidate regions of the license plate areas are detected by using symmetrical property, size, width and variance of the tail-light regions, and to find the license plate areas of the various sizes the morphological operations with adaptive size structuring elements are applied. Finally, the plate area is verified and confirmed with the geometrical and image features of the license plate areas. The proposed method was tested with the various road images and the detection rates (precisions) of 84.2% of day images and 87.4% of night images were achieved.