• 한국도로학회:학술대회논문집
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• 2003.10a
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• pp.83-90
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• 2003

• Journal of Platform Technology
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• v.9 no.4
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• pp.3-9
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• 2021

In this paper, a graph data model is introduced to effectively recognize the situation between each object on the road detected by vehicles or road infrastructure sensors. The proposed method builds a graph database by modeling each object on the road as a node of the graph and the relationship between objects as an edge of the graph, and updates object properties and edge properties in real time. In this case, the relationship between objects represented as edges is set when there is a possibility of approach between objects in consideration of the position, direction, and speed of each object. Finally, we propose a spatial indexing technique for graph nodes and edges to update the road object graph database represented through the proposed graph modeling method continuously in real time. To show the superiority of the proposed indexing technique, we compare the proposed indexing based database update method to the non-indexing update method through simulation. The results of the simulation show the proposed method outperforms more than 10 times to the non-indexing method.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1D
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• pp.177-184
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• 2006

This study is to develop a distributed urban flood runoff model that simulates the road runoff and to test the applicability of the model by applying to Pyeongtaek city of $12.2km^2$. To generate the runoff along the runoff, agree burned DEM (Digital Elevation Model) with road networks was suggested and the proper spatial resolution of DEM was identified finer than 15 m. To test the model applicability, 32 points on the road networks were selected and the hydrographs of each point were generated. The test showed reasonable results that increase the road runoff from the high elevation roads to the low elevation roads and the road runoff considering rainwater drainage from the road also showed reasonable results.

• Geophysics and Geophysical Exploration
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• v.19 no.1
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• pp.20-28
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• 2016

Recently many sinkholes have appeared in urban areas of Korea, threatening public safety. To predict the occurrence of sinkholes, it is necessary to investigate the existence of cavity under urban roads. Ground-penetrating radar (GPR) has been recognized as an effective means for detecting underground cavity in urban areas. In order to improve the understanding of the governing physical processes associated with GPR wave propagation, and interpret underground cavity effectively, a theoretical approach using numerical modeling is required. We have developed an algorithm employing a three-dimensional (3D) staggered-grid finite-difference time-domain (FDTD) method. This approach allows us to model the full electromagnetic wavefield associated with GPR surveys. We examined the GPR response for a simple cavity model, and the modeling results showed that our 3D FDTD modeling algorithm is useful to assess the underground cavity under urban roads.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.4 s.34
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• pp.19-25
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• 2005

This study suggests a method for securing road safety by extracting the expected surface freezing section in planning a route using GIS. When planning a road construction in a mountainous area it is possible to confront surface freezing especially in the wintertime. In addition, it is required assessment data of surface freezing rates in the case of turnkey inspections of newly constructed or expanded roads. Consequently, an analysis method that can quantitatively estimate the surface freezing section and sunshine influence on each section of a road is needed. We can extract the expected surface freezing section which amounted to around 29km of the Donghae highway, with such techniques as three-dimensional modeling, sunshine simulation geographical database construction and spatial analysis using the overlay function of the GIS spatial analysis. This study can be used as a method to assess advance safety which has a direct influence on planning the blueprint that should be approved by a policy maker after efficiently understanding the expected surface freezing section in accordance with hill shade.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.497-499
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• 1998

비젼 시스템을 바탕으로 한 무인 주행 시스템은 카메라로부터 입력된 영사에서 도로와 비 도로를 적절히 인식하여 그것을 바탕으로 주행을 위한 여러 장치들을 제어하는 시스템이라 할 수 있다. 한편 이와 같이 영상의 인식 결과가 핸들 제어나 속도 제어의 성능을 결정할 때 무엇보다 도로의 환경 변화에 강건한 비젼 시스템의 구현이 요구된다. 본 논문에서는 비젼 시스템과 핸들 제어 시스템 두 부분을 구현하였는데, 비젼 시스템에서는 입력 영상에 대해 학습이 가능한 Multilayer Perceptron(MLP)을 이용하여 도로와 비 도로를 적절한 신뢰도로 나눈 후 피라미드 알고리즘을 거쳐 최종 도로 영역을 추출해 낸다. 핸들 제어를 위해 도로 영역의 외곽선을 모델링한 후 차량의 주행 방향 벡터를 구한다. 그 값이 핸들 제어 시스템에서의 MLP의 입력이 되어 차량의 핸들 각도를 결정하게 된다. 끝으로 옥외 차량 시뮬레이션을 통하여 본 논문에서 제안된 알고리즘의 유용성을 확인한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.443-446
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• 2002

인터넷과 컴퓨터 기술이 발달함에 따라 가상공간에 대한 관심은 커져가고 있다. 그러나 가상공간을 생성하는 작업은 많은 시간과 노력이 필요하다. 그래서 가상공간 모델링에 관련된 연구들이 많이 이루어지고 있다. 본 논문에서는 2차원 CAD 데이터로부터 가상공간을 모델링하는 방법을 제시한다. CAD 파일에서 2차원 지형정보를 추출하여 웹에서 볼 수 있는 3차원 가상공간을 생성한다. 가상공간생성 과정은 전처리, 데이터 추출, 모델생성, 렌더링으로 이루어진다. 전처리는 CAD 파일에서 도로경계선을 분리하며 데이터 추출은 등고선, 도로경계선, 건물 정보를 CAD 파일로부터 추출하는 과정이다. 모델 생성은 추출한 지형정보들을 이용해서 3차원 공간모형 데이터를 생성하는 과정이다. 본 논문에서 제시한 방법은 실세계에 근접한 가상공간을 생성하며 가상공간을 생성하는데 드는 시간과 노력을 줄일 수 있다.

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.3
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• pp.279-292
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• 2022

Unexpected anomalies in the geotechnical investigation at design stage may cause problems during tunnel excavation. Therefore, it is important to predict the ground condition ahead of a tunnel face during tunnel excavation in order to prevent tunnel collapse. Despite the fulfillment of an electrical resistivity survey at the tunnel face, the existing electrical resistivity survey program can produce distorted results by the limitation of tunnel modelling. In this background, this study develops a modelling program for an electrical resistivity survey considering the tunnel shape. Numerical simulation and inverse calculation were performed for the electrical resistivity survey in the tunnel using the developed program. As a result, it was proved that the developed program could predict accurately the anomalous object's location and condition ahead of the tunnel face.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1276-1279
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• 2015

물리적으로 연속된 도로에 하나의 위치를 특징 짖고, 특정화한 위치의 개별성을 보장받아 규칙적으로 주소를 부여하면 특정위치는 물론 주변위치도 추측 가능해진다. 그동안 도시화와 산업화로 인하여 도로의 입체화, 다각화, 고기능화가 진행하는 가운데, 도로관리제도는 광역에 걸친 다수의 기관들이 전문 분야와 공종별로 분할하고 있는 복잡한 모습을 하고 있다. 이는 시간이 지날수록 자유로운 의사소통과 기술공유, 집약된 의사결정 등을 어렵게 하고 다양한 문제를 드러내고 있어 더 이상 기존의 제도와 방식은 적합하지 않게 되었다. 따라서 본 연구는 도로관리상 최대 맹점이라 할 수 있는 도로상의 개별위치에 대한 정의 없이 경험에 의존하는 관리방식에서 탈피하여, 도로가 위치하고 있는 지번주소, 도로명 주소, 국가도로망체계 등의 도로주소정보를 코드화하여 이를 도로상에 규칙적으로 부여하는 방안을 제시하였다. 또한, 본 논문의 목적은 정보시대의 도로관리에 적합하도록 도로를 식별하고자 정의한 도로주소코드를 통해서 디지털 모델링에 적합한 표준화방안을 제시하는데 있다.

• Journal of Korean Society of Transportation
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• v.25 no.3
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• pp.87-97
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• 2007

This paper proposes drivers' rational belief formation under a bounded traffic environment. This is to escape the criticism that excessive rationality (e.g., a driver's calculating ability and memory capacity) is required of drivers. Under bounded traffic environments. drivers do not have structural knowledge of traffic conditions and others' decisions. Simulations are carried out using a program coded in C. Consequently, the author found the learning process of drivers and the value of information can be differentiated by route conditions and the characteristics of driver groups. Also, it was found that rational drivers form different beliefs about traffic conditions even though they have the same traffic environment in a bounded traffic environment.