• 한국ITS학회 논문지
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• 제22권3호
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• pp.73-87
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• 2023

교통안전정보를 제공하는 서비스는 운전자에게 도로의 위험상황을 미리 전달함으로써 교통사고 예방에 도움을 줄 수 있다. 이에 다양한 센서로 도로 상황을 즉각적으로 인지하고 적절한 교통안전정보를 제공하는 스마트 도로조명 플랫폼 개발 연구가 진행되고 있다. 본 연구는 Surrogate Safety Measures (SSM)를 활용하여 스마트 도로조명의 터널 교통안전정보 제공 서비스 운영에 대한 단기적인 교통 안전성 개선 효과를 분석하였다. 분석에 활용된 자료는 강릉시 안인피암 1, 2 터널구간에서 레이더 검지기를 이용하여 수집된 차량 궤적자료이며, 이를 통해 개별 차량의 주행행태를 분석하였다. 교통안전정보 제공 사전과 사후의 과속, 속도 변동, 충돌예상시간, 충돌회피 감속도를 비교한 결과, 모든 SSM이 통계적으로 유의하게 개선되어 터널 교통안전정보 제공 서비스가 교통안전 향상에 효과적인 것으로 나타났다. 터널구간과 접속구간을 세분화하여 사고 위험성을 분석한 결과, 교통안전정보 제공 시 대부분의 구간에서 교통사고 발생 가능성이 저하된 것이 확인되었다. 본 연구는 교통안전정보 제공 서비스에 대한 단기 효과분석으로 유익한 사례가 될 수 있을 것으로 기대된다.

• 한국조경학회지
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• 제38권5_2호
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• pp.194-205
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• 2010

To predict urban growth according to changes in landcover, probability factors werecal culated and mapped. Topographic, geographic and social and political factors were used as prediction variables for constructing probability maps of urban growth. Urban growth-related factors included elevation, slope, aspect, distance from road,road ratio, distance from the main city, land cover, environmental rating and legislative rating. Accounting for these factors, probability maps of urban growth were constr uctedusing frequency ratio (FR) and logistic regression (LR) methods and the effectiveness of the results was verified by the relative operating characteristic (ROC). ROC values of the urban growth probability index (UGPI) maps by the FR and LR models were 0.937 and 0.940, respectively. The LR map had a slightly higher ROC value than the FR map, but the numerical difference was slight, with both models showing similar results. The FR model is the simplest tool for probability analysis of urban growth, providing a faster and easier calculation process than other available tools. Additionally, the results can be easily interpreted. In contrast, for the LR model, only a limited amount of input data can be processed by the statistical program and a separate conversion process for input and output data is necessary. In conclusion, although the FR model is the simplest way to analyze the probability of urban growth, the LR model is more appropriate because it allows for quantitative analysis.

• 환경영향평가
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• 제8권4호
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• pp.13-23
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• 1999

This study was carried out to investigate the degree of impact from road construction and forest fragmentation after urbanization. And this study was also conducted to compare the urban forest fragmentations of four cities, Taegu, Pohang, Kyungju, and Kumi, in Kyungpook, Korea, with referring the Landsat TM remotely sensed data. Taegu metropolitan city has the largest forest volume of our surveying sites, comparing with three other cities-Kyungju Pohang Kumi city in kyungpook, Korea. The forest has been fragmented during urbanization, the number of forest patch has been increased, therefore, the patch size has been smaller. The forest in Pohang and Kyungju city represented the intermediate aspect between Taegu Metropolitan city and Kumi city, it means forest of the region has been stable condition. Road construction brings to increasing edge habitat area. However, as the core area was decreased, the habitats have been unstable. This result can be a basis on the management of the forest which is the origin of biodiversity. Hereafter, if the research, based on the multi-temporal remote sensing data, is proceeded continuously, the forest fragmentation will be able to be reduced. We will be able to settle urban forest management more practically.

• International Journal of Advanced Culture Technology
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• 제8권4호
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• pp.137-143
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• 2020

Traffic-related environmental factors (TREF) are a major problem in developed countries, leading to increased atopic sensitivity, allergy symptoms, and diseases. This study shows an association between traffic-related pollutants, distance of road and gas station from the children's daycare center, and allergy symptoms. Data was obtained from the 2018 survey, an ongoing allergic diseases prevalence survey for children aged 4-7 (n=1175). This survey considered 36 public daycare centers, across 6 districts in Seoul. Allergic symptoms were defined as the presence of at least 1 or more allergic diseases (International Study of Asthma and Allergies in Childhood (ISAAC)). TREF was derived from the distance to the nearest main roads and gas stations. Geographic data processing and variable computation were conducted using ArcGIS version 10.2. The odds ratios for allergy symptoms increased by 1.189 (1.235-2.679) times with decreasing distance to main roads and by 1.846 (1.176-2.896) times with decreasing distance to a gas station. This study concludes that main roads and gas-stations near children's daycare centers are related to the allergy symptoms in children.

• 한국지반공학회논문집
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• 제25권7호
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• pp.47-54
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• 2009

도로하부에 대한 현장에서의 역학적인 거동에 대한 이해는 교통기반시스템의 장기공용성을 예측하는데 매우 중요하다. 이러한 현장거동에서 지반재료에 대한 회복변형 거동 정량화는 교통하중과 환경조건을 고려한 역학적인 해석이 필수적이다. 따라서 본 논문에서는 한국도로공사 시험도로에서 현장자료의 계측과 분석을 통하여 선택된 도로하부 입상재료에 대한 구성방정식을 활용한 비선형 재료거동과 응력을 예측 분석하고 이를 현장자료와 비교하고 검증하였다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2009년도 춘계 학술발표회
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• pp.11-16
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• 2009

Better understanding of in-situ mechanical behavior of pavement foundations is very important to predict long-term effects on the system performance of transport infrastructure. In order to do that, resilient stiffness characterization of geomaterals is needed to properly adopt such mechanistic analysis under both traffic and environmental loadings. In this paper, in situ monitoring data from KHC test road was used to analyze the non-linearity of stress conditions under traffic and moisture loadings. Then, the predicted non-linear response using finite element method with a selected constitutive model of foundation geomaterials are verified with the field data.

• 대한토목학회논문집
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• 제41권4호
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• pp.461-468
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• 2021

모든 생애주기에서 건설현장을 3D 데이터로 관리하게 되는 스마트건설에 있어서 드론의 역할은 날로 증대하고 있다. 드론을 통하여 건설현장에 대하여 얻게 되는 수치표면모델과 정사영상이 모두 포인트 클라우드 데이터로 이루어지기 때문이다. 본 연구는 고속도로 건설현장에서 드론 활용을 보다 체계적으로 하기 위하여 드론 활용을 위한 표준공종을 개발하는 것이다. 연구를 위하여 우리나라 고속도로 건설현장 두 곳을 테스트베드로 설정하고 드론 촬영 시범사업을 통하여 드론 적용이 가능한 공종을 도출하고 검증하였다. 연구결과 도로계획, 도로설계 및 유지관리부분에 각각 세 개의 공종을 개발하였고, 도로시공에 있어서는 다섯개의 공종에 21개의 세부공종을 개발할 수 있었다. 본 연구에서 개발된 '고속도로 건설현장 드론활용 표준공종'을 활용한다면 고속도로 건설현장뿐 아니라 다른 도로 건설현장에서도 드론을 활용하여 보다 체계적으로 건설현장을 관리할 수 있을 것으로 기대된다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2000년도 가을 학술발표회 논문집
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• pp.603-606
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• 2000

The cost needed for the construction and management of highways in the whole nation is rapidly growing so the research that can decrease the cost is required. However, most of the highway specs have simply converted from those of other countries, including USA. Therefore, some of our design and construction specs were not the optimum ones based on our own situation, requiring a research under the actual traffic and environment of our nation. The use of test road develops many aspects of highway engineering. Those are evaluation of construction materials, a general overview of korea pavement design and serviceability under the actual traffic and environmental condition of the nation. It is also economical and efficient compared to the trial construction of each item in spreaded form. A test road, 7.7km long with two lanes, is being constructed on the Inner Central Expressway. In this test road, 2.7km is planned for asphalt pavement and 3.4km is planned for concrete pavement. Three test bridges and five earth retaining structures will be included in the test road. Based on the master plan, the major performance was progressing such as detailed research modules of each area, preliminary research for the future research, sensor surveys for the behavior analyses of pavements and structures with installation methods and data acquisition systems, the foundation research of Integrated Instrumentation System and the Management Plan for automated measurement. Some area(structure research division, geotechnical research division) was designed the instrumentation plan because some instrument sensors must be installed during the construction of the test road. And then the instrumentation plan of each area was enforcing because a large majority of the instrument sensors must be installed after the construction of the test road. The field surveys with material property tests and pilot instrumentation test with sensor tests was also performing in accordance with the construction in the field.

• 한국군사과학기술학회지
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• 제17권6호
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• pp.836-843
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• 2014

The infrastructure of North Korea has serious problems such as stability, usability, and durability because the facilities were built a long time ago. In recent years, the infrastructure improvement of North Korea has emerged as the important issue to preparing for reunification. However, there are no research institutions about the infrastructure in South Korea as well as the experts for operating or constructing the infrastructure. Therefore, the objective of this study is to propose the military use of infrastructure in North Korea by analyzing various data. The facilities such as road, railroad and electricity has been focused in this study. In the future, if the more specific data regarding condition and problems in each facility are collected, the more detailed military use of the infrastructure of North Korea can be suggested.

• 한국측량학회지
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• 제39권5호
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• pp.253-263
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• 2021

Traffic data collected using advanced equipment are highly valuable for traffic planning and efficient road operation. However, there is a problem regarding the reliability of the analysis results due to equipment defects, errors in the data aggregation process, and missing data. Unlike other detectors installed for each vehicle lane, radar detectors can yield different error types because they detect all traffic volume in multilane two-way roads via a single installation external to the roadway. For the traffic data of a radar detector to be representative of reliable data, the error factors of the radar detector must be analyzed. This study presents a field survey of variables that may cause errors in traffic volume collection by targeting the points where radar detectors are installed. Video traffic data are used to determine the errors in traffic measured by a radar detector. This study establishes three types of radar detector traffic errors, i.e., artificial, mechanical, and complex errors. Among these types, it is difficult to determine the cause of the errors due to several complex factors. To solve this problem, this study developed a radar detector traffic volume error analysis model using a multiple linear regression model. The results indicate that the characteristics of the detector, road facilities, geometry, and other traffic environment factors affect errors in traffic volume detection.