• Title/Summary/Keyword: Road Geospatial Information

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Extraction of Road Facility Information Using Graphic Solution (지상사진 도해법을 이용한 도로시설물 정보추출)

  • Sohn, Duk-Jae;Lee, Hey-Jin;Lee, Seung-Hwan
    • Journal of Korean Society for Geospatial Information Science
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    • v.10 no.2 s.20
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    • pp.77-85
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    • 2002
  • The intention of this study is to extract the spatial and attribute information of road facility for Geospatial Information System(GIS) using graphic solution. Terrestrial photogrammetry has a lot of possibility for the acquisition of road facility information, which has much convenience in locating camera station, selecting the direction, and taking multiple images of the object at the fixed position. This study intended to develop the technique using single frame images only for the raw image data, being able to apply in the case where comparative high accuracy is not required and rigorous photogrammetric method is not available or rapid acquisition of information is need. As the results, we can find the efficiency in plane feature mapping and determining the dimensions of the road facilities.

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Study on Construction of Transportation/Road Framework Data (교통/도로 기본지리정보 구축에 관한 연구)

  • Yoo, Hwan Hee;Kim, Eui Myoung;Kim, Sung Sam;Cho, Jung Un
    • Journal of Korean Society for Geospatial Information Science
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    • v.9 no.1 s.17
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    • pp.27-38
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    • 2001
  • The GIS construction project using the Digital Map has been progressed actively since the enforcement of NGIS project in 1995. But, the Digital Map actually can't use directly in building GIS because of many defects of the digital map such as geometric features errors(the overshoot/undershoot of line or the opening of polygon), non-topology etc. Many advanced countries in GIS has provided users Framework Data which is generated topology defined spatial relationships and used as a basic data of national geospatial information. In this study, we proposed the definition and the scope of Framework Data as a basemap of the Nation Geospatial Information and studied for the management and construction of the Transportation/Road Framework Data which is a core and basic data among them.

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MMS Data Accuracy Evaluation by Distance of Reference Point for Construction of Road Geospatial Information (도로공간정보 구축을 위한 기준점 거리 별 MMS 성과물의 정확도 평가)

  • Lee, Keun Wang;Park, Joon Kyu
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.6
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    • pp.549-554
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    • 2021
  • Precise 3D road geospatial information is the basic infrastructure for autonomous driving and is essential data for safe autonomous driving. MMS (Mobile Mapping System) is being used as equipment for road spatial information construction, and related research is being conducted. However, there are insufficient studies to analyze the effect of the baseline reference point distance, which is an important factor in the accuracy of the MMS outcome, on the accuracy of the outcome. Therefore, in this study, the accuracy of the data acquired using MMS by reference point distance was analyzed. Point cloud data was constructed using MMS for the road in the study site. For data processing, 4 data were constructed considering the distance from the reference point for MMS data, and the accuracy was analyzed by comparing the results of 12 checkpoints for accuracy evaluation. The accuracy of the MMS data showed a difference of -0.09 m to 0.11 m in the horizontal direction and 0.04 m to 0.19 m in the height direction. The error in the vertical direction was larger than that in the horizontal direction, and it was found that the accuracy decreased as the distance from the reference point increased. In addition, as the length of the road increases, the distance from the reference point may vary, so additional research is needed. If the accuracy evaluation of the method using multiple reference points is made in the future, it will be possible to present an effective method of using reference points for the construction of precise road spatial information.

Development of the System for Damage Assessment of Road Network after Seismic Excitation (지진 발생 후 도로망의 피해 산정을 위한 평가체계 개발)

  • Yi Jin-Hoon;Lee Hyeong-Cheol;Jeong Dong-Gyun;Lee Sang-Ho
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2006.04a
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    • pp.216-221
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    • 2006
  • This study provides a methodology for development of the Seismic Damage Evaluation System (SDES) in Korea. Major systems and status of database related to road networks in Korea are investigated to analyze the usability of the required information for developing the SDES. In this study, the SDES is composed of four components that are the road network component, the ground motion component, the fragile structure component, and the cost component. In addition, the procedures for the construction of database which support the SDES is proposed, and a prototype of the SDES for expressway of Korea is developed based on the developed methodology. The National Geospatial Information System (NGIS) and the National Earthquake Information System (NEIS) are used to develop the road network component and ground motion component, respectively. For the fragile structure component and the cost component, Highway Bridge Management System (HEMS) was used.

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Traffic Emission Modelling Using LiDAR Derived Parameters and Integrated Geospatial Model

  • Azeez, Omer Saud;Pradhan, Biswajeet;Jena, Ratiranjan;Jung, Hyung-Sup;Ahmed, Ahmed Abdulkareem
    • Korean Journal of Remote Sensing
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    • v.35 no.1
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    • pp.137-149
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    • 2019
  • Traffic emissions are the main cause of environmental pollution in cities and respiratory problems amongst people. This study developed a model based on an integration of support vector regression (SVR) algorithm and geographic information system (GIS) to map traffic carbon monoxide (CO) concentrations and produce prediction maps from micro level to macro level at a particular time gap in a day in a very densely populated area (Utara-Selatan Expressway-NKVE, Kuala Lumpur, Malaysia). The proposed model comprised two models: the first model was implemented to estimate traffic CO concentrations using the SVR model, and the second model was applied to create prediction maps at different times a day using the GIS approach. The parameters for analysis were collected from field survey and remote sensing data sources such as very-high-resolution aerial photos and light detection and ranging point clouds. The correlation coefficient was 0.97, the mean absolute error was 1.401 ppm and the root mean square error was 2.45 ppm. The proposed models can be effectively implemented as decision-making tools to find a suitable solution for mitigating traffic jams near tollgates, highways and road networks.

Using Geospatial Information Open Platform for Design and Planning of Route Unused Land (국도 유휴공간의 개발 계획을 위한 공간정보오픈플랫폼의 활용)

  • Lee, Dong Gook;Go, Jae Woong;Lee, Hyun Jik
    • Journal of Korean Society for Geospatial Information Science
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    • v.23 no.3
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    • pp.95-106
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    • 2015
  • Unused land is a new load of building and a linear improvement, expanding the loss of function of the road abandoned road construction sites, as well as existing roads is possible additional advantage. However, some space is overcharge checkpoints, materials yard, make this vehicle utilization and maintenance of the unfavorable situation, as vehicle rest area but unused land most of the space required for the use of the system management plan. We are analyzed the location, topographical features, cultural property and in the space which is geospatail open platform set up to classify the type of unused land. Depending on the type of unused land using the geospatial open platform performs a 3D model and a proposed model development and application taking into account the environment and landscape. To derive the Gangwon development Plan and design of future route unused land was becoming helps you make better use of unused land.

A Study on Road Extraction for Improving the Quality in Conflation between Aerial Image and Road Map (항공사진과 도로지도 간 합성 품질 향상을 위한 도로 추출 연구)

  • Yang, Sung-Chul;Lee, Won-Hee;Yu, Ki-Yun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.29 no.6
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    • pp.593-599
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    • 2011
  • With increasing user applicability of geospatial data, user demand for manifold and accurate information has increased. The usefulness of these services derives from their combination of the advantages of as-built geospatial data in making new content. There is a spatial inconsistency and shape disagreement in fusing heterogeneous data. Conflation, defined as the combining of information from diverse sources so as to reconcile spatial inconsistencies and shape disagreement, is possible solution to the problem. In this research, we developed the technique for removing shape disagreement between aerial image and road map removed spatial inconsistency in advanced research. The process includes four processes: producing of a road candidate image, extraction of vertices, and generation of a graph by connecting the vertices. We could remove the shape disagreement using the extracted road that was derived from finding the road possible path.

A Study On The Three Dimensional Road Simulation Technique Based on GSIS (지형공간정보체계를 이용한 3차원 도로시뮬레이션에 관한 연구)

  • Quan, He-Chun;Lee, Byung-Gul
    • Journal of Korean Society for Geospatial Information Science
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    • v.12 no.2 s.29
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    • pp.11-15
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    • 2004
  • Based on Geo-Spatial Information System(GSIS), we tried to develop three dimensional road simulation system of coastal region considering landscape in Jeju island. The 1:5000 digital map, microstation CAD and Inroads road design programs were used to design coastal road. To estimate landscape effect of the three dimensional road visual simulation we implemented three types road simulations that are the trees planted, the flowers planted and the trees and flowers planted road, respectively. From the study, we found that the three dimensional virtual technique was very useful tool to design the road considering landscape effect in ocean view terrain and to estimate the reasonable road characteristics.

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Object-Based Road Extraction from VHR Satellite Image Using Improved Ant Colony Optimization (개선된 개미 군집 최적화를 이용한 고해상도 위성영상에서의 객체 기반 도로 추출)

  • Kim, Han Sae;Choi, Kang Hyeok;Kim, Yong Il;Kim, Duk-Jin;Jeong, Jae Joon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.3
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    • pp.109-118
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    • 2019
  • Road information is one of the most significant geospatial data for applications such as transportation, city planning, map generation, LBS (Location-Based Service), and GIS (Geographic Information System) database updates. Robust technologies to acquire and update accurate road information can contribute significantly to geospatial industries. In this study, we analyze the limitations of ACO (Ant Colony Optimization) road extraction, which is a recently introduced object-based road extraction method using high-resolution satellite images. Object-based ACO road extraction can efficiently extract road areas using both spectral and morphological information. This method, however, is highly dependent on object descriptor information and requires manual designations of descriptors. Moreover, reasonable iteration closing point needs to be specified. In this study, we perform improved ACO road extraction on VHR (Very High Resolution) optical satellite image by proposing an optimization stopping criteria and descriptors that complements the limitations of the existing method. The proposed method revealed 52.51% completeness, 6.12% correctness, and a 51.53% quality improvement over the existing algorithm.