• Title/Summary/Keyword: Road database

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Construction of Road Information Database for Urban Disaster Management : Focused on Evacuation Vulnerability (방재관점의 도로 데이터베이스 구축 : 대피위험도를 중심으로)

  • Kim, Ji-Young;Kim, Jung-Ok;Kim, Yong-Il;Yu, Ki-Yun
    • 한국공간정보시스템학회:학술대회논문집
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    • 2007.06a
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    • pp.212-216
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    • 2007
  • 본 연구의 목적은 도시 지역에서 지진 발생시 중요한 대피로 역할을 하는 도로의 위험평가요소를 분석하고 데이터베이스(Database, DB)를 구축하는데 있다. 현재 우리나라는 도로의 체계적인 유지관리를 위해 도로관리통합시스템이 개발되어 있으나, 이는 도로대장전산화, 포장관리시스템, 교랑관리시스템, 도로절개면유지관리시스템 등에 한정되어 있다. 다시 말해서 재난 시 사람들이 신변의 안전을 확보할 수 있는 대피나 구급을 위한 통로로써의 도로에 대한 이해가 부족한 실정이다. 따라서 본 연구에서는 선행연구의 분석을 토대로 방재관점의 도로관리를 위한 항목들을 자연환경, 시회환경, 도로 및 시설물, 유발요인 등으로 제안하고, 서울대학교 부근을 대상지역으로 하여 이들 요인을 DB화하였다. 이는 도로와 주변 환경 등을 동시에 고려하여 재난 발생 시 대피와 구조 활동을 위한 방재계획은 물론, 지역별 위험도평가 및 재해위험도작성에 기초 자료로 이용될 것으로 기대된다. 그러나 본 연구에서는 기구축된 GIS 자료가 아닌 현장 조사를 바탕으로 구축된 DB로, 방재관점의 통합된 DB의 필요성을 제시하는데 그 의미가 있을 것이다.

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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.

A Study on Development of High Risk Test Scenario and Evaluation from Field Driving Conditions for Autonomous Vehicle (실도로 주행 조건 기반의 자율주행자동차 고위험도 평가 시나리오 개발 및 검증에 관한 연구)

  • Chung, Seunghwan;Ryu, Je Myoung;Chung, Nakseung;Yu, Minsang;Pyun, Moo Song;Kim, Jae Bu
    • Journal of Auto-vehicle Safety Association
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    • v.10 no.4
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    • pp.40-49
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    • 2018
  • Currently, a lot of researches about high risk test scenarios for autonomous vehicle and advanced driver assistance systems have been carried out to evaluate driving safety. This study proposes new type of test scenario that evaluate the driving safety for autonomous vehicle by reconstructing accident database of national automotive sampling system crashworthiness data system (NASS-CDS). NASS-CDS has a lot of detailed accident data in real fields, but there is no data of accurate velocity in accident moments. So in order to propose scenario generation method from accident database, we try to reconstruct accident moment from accident sketch diagram. At the same step, we propose an accident of occurrence frequency which is based on accident codes and road shapes. The reconstruction paths from accident database are integrated into evaluation of simulation environment. Our proposed methods and processor are applied to MILS (Model In the Loop Simulation) and VILS (Vehicle In the Loop Simulation) test environments. In this paper, a reasonable method of accident reconstruction typology for autonomous vehicle evaluation of feasibility is proposed.

Construction of Database for Deep Learning-based Occlusion Area Detection in the Virtual Environment (가상 환경에서의 딥러닝 기반 폐색영역 검출을 위한 데이터베이스 구축)

  • Kim, Kyeong Su;Lee, Jae In;Gwak, Seok Woo;Kang, Won Yul;Shin, Dae Young;Hwang, Sung Ho
    • Journal of Drive and Control
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    • v.19 no.3
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    • pp.9-15
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    • 2022
  • This paper proposes a method for constructing and verifying datasets used in deep learning technology, to prevent safety accidents in automated construction machinery or autonomous vehicles. Although open datasets for developing image recognition technologies are challenging to meet requirements desired by users, this study proposes the interface of virtual simulators to facilitate the creation of training datasets desired by users. The pixel-level training image dataset was verified by creating scenarios, including various road types and objects in a virtual environment. Detecting an object from an image may interfere with the accurate path determination due to occlusion areas covered by another object. Thus, we construct a database, for developing an occlusion area detection algorithm in a virtual environment. Additionally, we present the possibility of its use as a deep learning dataset to calculate a grid map, that enables path search considering occlusion areas. Custom datasets are built using the RDBMS system.

Extraction of Road Superelevation using Digital Imagery (수치영상을 이용한 도로편경사 추출)

  • 이종출;차성렬;이영도;김세준
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.04a
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    • pp.233-238
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    • 2004
  • This study deals with the extraction of highway's superelevation using digital imagery which are economic method in constructing database for the side of highway management. Using CCD camera, both center line and shoulder of highway are measured by analyzing the result value and enough result values were obtained. This study is expected to become effective method for extraction of highway alignment elements in the Digital Photogrammetry.

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A Study on Development of Automated Monitoring System for Road Cut Slopes (위험도로사면의 실시간 무인감시시스템 개발 연구)

  • 김춘식;이광우;윤수호;조삼덕
    • Proceedings of the Korean Geotechical Society Conference
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    • 2000.11a
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    • pp.607-614
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    • 2000
  • A cost-effective automated slope monitoring system is developed to monitor hazardous cut slopes along highways. This automated slope monitoring system consists of data-collection and visual monitoring, data-transmitting, database and internet service, and alarm system. Wire-line extensometer, automatic raingauge, and CCD camera are selected as monitoring instruments in this system, after consideration of failure characteristics of roadside cut slopes in the country. This paper describes the important features of this newly developed automated slope monitoring system.

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A Study of Traffic Mining used High expressway Connection Road Information Database (고속도로 연계도로 정보 데이터베이스를 이용한 교통체증 마이닝에 관한 연구)

  • Lee, Gi-Sung
    • Proceedings of the KAIS Fall Conference
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    • 2006.05a
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    • pp.466-469
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    • 2006
  • 교통 체증이나 도로의 속도를 이전의 통계를 이용하여 예측할 수 있다면 상당히 도움이 될 것이다. 본 논문은 다양한 종류의 도로 중 고속도로의 속도에 영향을 주는 요소를 분석하여 상호 영향을 주는 요소를 고찰한다. 이를 수행하기 위해 고속 도로 교통에 대한 데이터베이스를 구축하며, 도로 교통 데이터베이스에 연계도로와 관계를 적용하고, 다양한 데이터 마이닝의 연산을 사용하여 결과를 도출한다.

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A Study of Traffic Mining used High expressway Connection Road Speed Information Database (고속도로 연계도로의 스피드 정보 데이터베이스를 이용한 교통체증 마이닝에 관한 연구)

  • Lee, Gi-Sung
    • Proceedings of the KAIS Fall Conference
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    • 2006.05a
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    • pp.470-473
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    • 2006
  • 교통 체증이나 도로의 속도를 이전의 통계를 이용하여 예측할 수 있다면 상당히 도움이 될 것이다. 본 논문은 다양한 종류의 도로 중 고속도로의 속도에 영향을 주는 요소를 분석하여 상호 영향을 주는 요소를 고찰한다. 이를 수행하기 위해 고속 도로 교통에 대한 데이터베이스를 구축하며, 도로 교통 데이터베이스에 연계도로의 속도와 관계을 적용하고, 다양한 데이터 마이닝의 연산을 사용하여 결과를 도출한다.

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The Analysis of the Important Problems on Designing and Constructing Earth Retaining Structures (지반굴착 흙막이 구조물 설계 및 시공시 중요문제점 분석)

  • Lee, Song;Kim, Ju-Hyun
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.6 no.2
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    • pp.167-174
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    • 2002
  • Earth retaining structure is constructed structure in order to construct a multistoried building, the subway, a subterranean downtown for effective use and obtainments of the limited ground. Recently, many kinds of research have been actively developed for a standardization and a database on designing and constructing of bridge, tunnel, road. With the works of database construction of that, many kinds of data with respect to statistics is cumulated. However, Database work of designed and constructed earth retaining structure in the construction field is wholly lacking and lagged behind in the works of database construction. This paper suggested classification system on indication data in connection with designing and constructing earth retaining structures a hundred fields. On the basis of that, code work with classification system was practised and DB program of indication data in connection with designing and constructing earth retaining structures was developed.

Development of a Road Hazard Map Considering Meteorological Factors (기상인자를 고려한 도로 위험지도 개발)

  • Kim, Hyung Joon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.3
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    • pp.133-144
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    • 2017
  • Recently, weather information is getting closer to our real life, and it is a very important factor especially in the transportation field. Although the damage caused by the abnormal climate changes around the world has been gradually increased and the correlation between the road risk and the possibility of traffic accidents is very high, the domestic research has been performed at the level of basic research. The Purpose of this study is to develop a risk map for the road hazard forecasting service of weather situation by linking real - time weather information and traffic information based on accident analysis data by weather factors. So, we have developed a collection and analysis about related data, processing, applying prediction models in various weather conditions and a method to provide the road hazard map for national highways and provincial roads on a web map. As a result, the road hazard map proposed in this study can be expected to be useful for road managers and users through online and mobile services in the future. In addition, information that can support safe autonomous driving by continuously archiving and providing a risk map database so as to anticipate and preemptively prepare for the risk due to meteorological factors in the autonomous driving vehicle, which is a key factor of the 4th Industrial Revolution, and this map can be expected to be fully utilized.