• Journal of Korean Society for Geospatial Information Science
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• v.19 no.3
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• pp.91-98
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• 2011

Road signs are part of the traffic facilities intended to guide drivers to their destinations in a safe and comfortable manner. Due to the creation of new routes, changes to the old routes, and the deterioration of road signs, road signs do require efforts to do ongoing field investigations and put the results in a database. The purpose of this study was to propose methodologies to do field investigations and build a database for road signs efficiently. For that purpose, a mobile mapping system was designed for field investigations. The designed mobile mapping system was comprised of three cameras to produce image information about road signs, GPS/IMU/DMI to obtain information about the position and attitude of a vehicle, and a laser scanner to generate information about the locations of road signs and routes. Also proposed in the study was a procedure to automatically detect the areas of road signs in the road signs images and recognize their characters.

• Journal of Korean Society for Geospatial Information Science
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• v.11 no.2 s.25
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• pp.39-45
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• 2003

Roads have been developed throughout the history of mankind, and play a significant role among many traffic facilities for the economy, politics and cultures of our lives. However, the management of roads has not been fully scientific or systematic due to governmental policies focused on construction resulting in damages, and the loss of drawings for existing roads. In this case, it is difficult to manage roads using normal cadastre due to its time consuming work. And, when applying satellite surveying to rapidly extract the centerline of roads, it is impossible to obtain data about the status of internal tunnels. Therefore, this study can be used to extract optimum alignment data of tunnels using the data from satellite surveying, and is a practical paper which can contribute to efficient management and usage of alignment data and road facilities in establishing a HMS(Highway Management System) for the renewal and management of the alignment data of roads, by comparing the data from satellites with the alignment data in existing drawings.

• Proceedings of the KSEEG Conference
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• 1999.04a
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• pp.39-42
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• 1999

1) 서울 지역 도로가 퇴적물에서는 특히 Cu와 Zn의 오염이 도심 지역을 중심으로 심각하게 진행되고 있으며. Pb는 무연 휘발유의 사용량 증가와 더불어 감소 추세이나 여전히 높은 함량을 나타내고 있다. 2) Pb와 Cr의 함량은 공간적 지배가 강하여 Pb는 주로 교통 혼잡 지역, Cr은 공구상 밀집 지역에서 높게 나타난다. 반면, Cu, Cd, Zn 함량은 시간적 및 공간적 변화를 모두 보여주어 금속 산업 밀집도 및 강우량 변화에 따라 변화된다. 3) 특히 오염이 심화되고 있는 지역의 도로가 퇴적물이 하수계로 직접 유입되지 못하도록 차단하는 적절한 시설이 필요하며, 아울러 오염된 퇴적물을 집적하여 처분할 때는 주변 토양의 오염에 유의해야 할 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.63-64
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• 2007

도로 네트워크 공간에서 이동 객체 데이터베이스에 들어올 수 있는 질의의 종류는 매우 다양하다. 따라서 이러한 이동 객체 질의들을 처리하기 위한 효과적인 인덱스 구성 기법이 요구된다. 기존에 연구되었던 인덱스들은 처리할 수 있는 질의의 종류가 매우 한정적이었다. 본 논문에서는 도로 네트워크 공간에서 사용될 수 있는 이동 객체 질의들을 정의하고 이를 처리하기 위한 인덱싱 프레임워크를 제안한다. 이러한 인덱싱 프레임워크를 기반으로 도로 네트워크 상의 다양한 이동 객체 질의들을 효과적으로 처리할 수 있다.

• Tunnel and Underground Space
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• v.26 no.1
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• pp.32-45
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• 2016

For effective utilization of downtown area, many studies about underground have been performed around the world, and double-deck tunnel have being operated in USA, Europe and China, etc. (A86 East Duplex in France, M30 tunnel project in Spain, SR-99 in seattle, USA, Yangtze river tunnel in China) In Korea, the research about network type double-deck tunnel in deep underground space is in progress to solve the traffic jam and secure the ground space. In this study, a number of factors required for double-deck tunnel in deep underground are analyzed through the existing ventilation design outline and unique ventilation design factors for network type double-deck tunnel are established by reviewing design cases of overseas double-deck tunnel.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.3 s.37
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• pp.3-11
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• 2006

The need for edge detection about topography data from the high resolution satellite imagery is happening with increasing frequency according to many people utilize the its imagery as various fields recently. Many experts is recognizing of other GIS will make use of the road detection from the high resolution satellite imagery, including ITS (Intelligent Transportation Systems) and urban planning. This paper is comparative analysis of LPF (Low Pass Filtering) and HPF (High Pass Filtering) for roads edge detection from high resolution satellite imagery. As a result, LPF and HPF can be highlight selective pixels at edge area about input data. In case or applying to other techniques such as LPF for the same purpose, they aye more effective for wide road width which often cause the slight distortion of boundary or overall change of brightness values on the whole Image. Whereas, HPF has ability to enhance selectively detailed components in a target image.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.5
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• pp.59-74
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• 2021

The domestic road space is reaching the limit of planar space distribution, and Increasingly, the importance of three-dimensional space distribution through the development of underground space. therefore, In this study, a study was conducted on a traffic control method that can safely induce two different traffic flows in the connection between the ground road and the underground road. Through VISSIM, we calculated the appropriate amount of outflow and inflow traffic compared to the capacity of the main line when there is a Merge/Diverge section in the underground road. and Through the analysis of the number of conflicts, the appropriate traffic control level for safety in the underground, A basic study was conducted on the level of risk in the underpass according to the level of delay in the ground part through the analysis of the delay scenario of the ground road.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.125-131
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• 2019

A vanishing point is a point on an image to which parallel lines projected from a real space gather. A vanishing point in a road space provides important spatial information. It is possible to improve the position of an extracted lane or generate a depth map image using a vanishing point in the road space. In this paper, we propose a method of detecting vanishing points on images taken from a vehicle's point of view using Deep Neural Network (DNN) and Histogram of Oriented Gradient (HoG). The proposed algorithm is divided into a HoG feature extraction step, in which the edge direction is extracted by dividing an image into blocks, a DNN learning step, and a test step. In the learning stage, learning is performed using 2,300 road images taken from a vehicle's point of views. In the test phase, the efficiency of the proposed algorithm using the Normalized Euclidean Distance (NormDist) method is measured.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.1
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• pp.193-202
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• 2021

The update of a high-precision map was carried out by modifying the geometric information using ortho-images or point-cloud data as the source data and then reconstructing the relationship between the spatial objects. These series of processes take considerable time to process the geometric information, making it difficult to apply real-time route planning to a vehicle quickly. Therefore, this study proposed a method to update the road network for route planning using a graph data structure and storage type of graph data structure considering the characteristics of the road network. The proposed method was also reviewed to assess the feasibility of real-time route information transmission by applying it to actual road data.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.4
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• pp.38-47
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• 2014

Ministry of Land, Infrastructure and Transport (MOLIT) Affairs of Korean government improved RSMS to be linked with GIS data and now we have research foundation. In case of expressway and rural national highway, there is a referenced place-name for direction road sign, but there is no reference in urban road and is only a guideline. Direction signs in urban could not have consistent place-name and it is vary difficult to select the proper place-name. Based on the change of analysis environment and perception of road sign - related problem, This study is aimed to suggest how to deduce the spatial impact zone of place-name from DB and GIS in RSMS of Changwon City. The results indicated that there is a spatial difference between place-names according to whether is near or far on the road sign. It is expected that this method would be effectively used in case of new road sign and so the process to select the place-name would be simple.