• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.420-420
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• 2011

도시지역의 내수침수피해는 거의 매년 발생하고 있으며, 반지하와 같은 거주공간이 매우 취약한 상태이다. 특히 최근에는 지하철, 지하상가 등이 대규모 개발되고 복합네트워크화 되어 지하공간의 침수대책과 대피방안 마련이 시급한 상황이다. 일본의 경우 2000년 토카이 호우피해 후 통합유출해석 모형을 개발하였으며, 1999년 및 2003년 후쿠오카 침수피해 발생 후 특정도시하천침수피해대책법을 제정, 1999 후쿠오카, 2004년 하마마츠, 2008년 카누마 피해 후 일본 방재연구소에서는 실시간 1차원 지표범람모형과 모니터링을 통한 실시간 내수침수지도를 개발하였다. 특히 지하공간에 대해서는 "지하공간에 유입하는 범람수가 계단상 보행자게에 주는 위험성에 관한 연구" 등 실험을 바탕으로 각종 지하공간 침수대책 매뉴얼 및 지하시설의 침수시 피난확보계획 지침, 지하공간 침수대책 가이드라인 등 인명피해를 줄이고자하는 노력이 계속되어 오고 있다. 우리나라는 2006년 경기도 고양시 3호선 정발산역이 침수되었으며, 2010년 서울시 지하철 2호선 사당역 및 4호선이 침수되는 등의 지하철 침수피해와 2010년 서울시 광화문 지하상가, 인천시 부평구 우림라이온스 벨리, 우남플라자, 계양구 농협하나로마트, 서원아파트 등의 지하상가와 지하다층의 침수피해가 발생하였다. 특히 2006년 3호선 정발산역 침수는 17시간이나 지하철이 불통되었고 이로 인하여 심각한 교통 체증이 유발 되었다. 본 연구에서는 2010년 집중호우로 인한 서울, 인천지역의 지하공간 침수피해를 중심으로 최근 10년간 지하공간 침수피해사례로부터 대표적인 침수피해 원인 및 특성을 정리하였으며, 그 결과 지하공간 침수의 주요원인은 지상공간의 침수류가 지하공간으로 유입하고, 지하공간의 배수설비 용량부족, 지하공간으로의 유입을 방지하기위한 방지턱, 차수판, 침수시 비상전원 공급, 침수시 지하공간 대피 매뉴얼의 부재 등 다양한 원인이 있는 것으로 나타났다. 특히, 소방방재청에서 고시한 '지하공간 침수방지를 위한 수방기준'에 지하공간 침수 방지를 위한 각종 시설의 설치 및 대피 경로지정 등에 대한 기준이 마련되어 있으나, 지하공간 중 유동인구가 가장 많은 지하철역에서 조차 침수에 대한 행동매뉴얼이나 대피에 대한 가이드라인이 마련되지 않은 것으로 나타났다. 따라서, 지하공간 침수를 방지하기 위하여 센서를 이용한 자동 차수판과 경보기 설치, 지하공간의 사람들이 안전한 대피로를 찾을 수 있도록 지상공간 및 지하공간 출입구를 모니터링 할 수 있는 CCTV의 설치, Dry Area를 두어 비상대피 할 수 있는 공간의 마련 등 시설적인 부분에 대하여 '지하공간 침수방지를 위한 수방기준'을 더욱 강화할 필요가 있으며, 지상공간의 침수 상황을 고려한 지하공간의 대피매뉴얼 또는 가이드라인 등의 수립이 필요하다. 또한 이와 더불어 재산 및 인명피해를 더욱 효율적으로 줄일 수 있도록 실시간 예 경보를 위한 침수해석 모형의 개발이 시급하다.

• Journal of Korea Spatial Information System Society
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• v.11 no.1
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• pp.63-70
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• 2009

3D GIS(Geographic Information System) processes, analyzes and presents various real-world 3D phenomena by building 3D spatial information of real-world terrain, facilities, etc., and working with visualization technique such as VR(Virtual Reality). It can be applied to such areas as urban management system, traffic information system, environment management system, disaster management system, ocean management system, etc,. In this paper, we propose video visualization technology based on 3D geographic information to provide effectively real-time information in 3D geographic information system and also present methods for establishing 3D building information data. The proposed video visualization system can provide real-time video information based on 3D geographic information by projecting real-time video stream from network video camera onto 3D geographic objects and applying texture-mapping of video frames onto terrain, facilities, etc.. In this paper, we developed sem i-automatic DBM(Digital Building Model) building technique using both aerial im age and LiDAR data for 3D Projective Texture Mapping. 3D geographic information system currently provide static visualization information and the proposed method can replace previous static visualization information with real video information. The proposed method can be used in location-based decision-making system by providing real-time visualization information, and moreover, it can be used to provide intelligent context-aware service based on geographic information.

• Journal of Korean Society of Transportation
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• v.31 no.4
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• pp.32-46
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• 2013

Because of short length between interchanges, traffic congestion has been caused by a lot of short trip traffic in the urban section of interregional expressway. Also, in case of expressway with Bus Only Lane, bus causes dangerous situation by conflicting between vehicles and buses in order to access from Bus Only Lane to IC. Therefore, this study aims to propose Express Lane applied by Bus Only Lane as a new lane operation in order to efficiently operate and to analyze the effectiveness on constructing Express Lane to the Pangyo-Hannam section in Gyeongbu Expressway. The study analyzes effectiveness by scenario using the micro traffic simulation tool, VISSIM 5.4. For this, the indicators which evaluate construction effect of Express Lane, are used by average delay time, average speed and total travel time. The results of the study showed the best effectiveness when Express Lane installed one, and it represented an ideal traffic condition when long distance trip traffic of the whole traffic is 25% in the study section. Therefore, the construction of Express Lane using Bus Only Lane achieves positive effectiveness on safety and expense aspect as well as uncongested flow.

• 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.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.4
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• pp.58-70
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• 2019

In the case of a pedestrian traffic accident, it has a large-scale danger directly connected by a fatal accident at the time of the accident. The domestic ITS is not used for intelligent risk classification because it is used only for collecting traffic information despite of the construction of good quality traffic infrastructure. The CNN based pedestrian detection classification model, which is a major component of the proposed system, is implemented on an embedded system assuming that it is installed and operated in a restricted environment. A new model was created by improving YOLO's artificial neural network, and the real-time detection speed result of average accuracy 86.29% and 21.1 fps was shown with 20,000 iterative learning. And we constructed a protocol interworking scenario and implementation of a system that can connect with the ITS. If a pedestrian accident prevention system connected with ITS will be implemented through this study, it will help to reduce the cost of constructing a new infrastructure and reduce the incidence of traffic accidents for pedestrians, and we can also reduce the cost for system monitoring.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.6
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• pp.90-101
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• 2016

This study was initiated to develop an algorithm for traffic condition adaptive optimal traffic signal control for isolated intersections based on the vehicle trajectory data. The algorithm determines the optimal cycle length, phase lengths, phase sequences using the data collected under V2X communication environment every second. In addition, the algorithm utilizes a traditional feature of the actuated signal control, gap-out, using traditional detector systems to consider the mixture of normal vehicles and vehicles equipped with the V2X communication function. The performance of the algorithm was compared with that of the fixed signal timing plan which was optimized with Synchro under a microscopic traffic simulation-based test bed. As a result, the overall performance, including average delay, average stop delay, the number of stops, and average speed, are improved apparently. In addition, the amount of improvement get bigger as the traffic volume in the intersection as well as the number of vehicles equipped with the V2X communication function increase.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.4
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• pp.95-103
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• 2009

Global interests for construction of 3 dimensional spatial information has risen due to development of measurement sensors and data processing technologies. In spite of criticism for the violation of personal privacy, CCTV cameras equipped in outdoor public space of urban area are used as a fundamental sensor for traffic management, crime prevention or hazard monitoring. For safety guarantee in urban environment and disaster prevention, a surveillance system integrating pre-constructed 3 dimensional spatial information with CCTV data or video sequence is needed for monitoring and observing emergent situation interactively in real time. In this study, we proposed applicability of the prototype system for web visualization based on X3D, an international standard of real time web visualization, by integrating 3 dimensional spatial information with video sequence.

• Journal of the Society of Disaster Information
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• v.16 no.4
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• pp.682-690
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• 2020

Purpose: This study builds a database by collecting and refining disaster occurrence data and real-time weather and atmospheric data. In conjunction with the public data provided by the API, we propose a service model for the Big Data-based Urban Safety Index. Method: The plan is to provide a way to collect various information related to disaster occurrence by utilizing public data and SNS, and to identify and cope with disaster situations in areas of interest by real-time dashboards. Result: Compared with the prediction model by extracting the characteristics of the local safety index and weather and air relationship by area, the regional safety index in the area of traffic accidents confirmed that there is a significant correlation with weather and atmospheric data. Conclusion: It proposed a system that generates a prediction model for safety index based on machine learning algorithm and displays safety index by sector on a map in areas of interest to users.

• Journal of Navigation and Port Research
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• v.41 no.3
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• pp.93-102
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• 2017

When VTSOs (Vessel Traffic Service Operator) determine the degree of collision risk for two vessels, they consider comprehensive information about each vessel's course, speed, DCPA, TCPA, and encountering situation. In this study, we proposed a utility function based on the risk attitudes of VTSOs toward the Risk Index (RI). The RI was calculated using the risk of encounter, the risk of approach, and the risk of time for two vessels in order to predict each ship's collision risk from the VTS viewpoint. We obtained each coefficient of the RI and the risk attitude through a survey of collision risks among VTSOs of Korea. In order to verify whether the proposed utility is reasonable, we validated by applying the degree of collision risk to some historical cases of accidents in Busan port along with the Ship of ES value($ES_S$) of ES(Environmental Stress) model.

• Science of Emotion and Sensibility
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• v.9 no.spc3
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• pp.225-234
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• 2006

Car Navigation market is rapidly emerging in Korea recently. And it adds the multiple functions which are various traffic and travel information, DMB(Digital Multimedia Broadcasting) TV, game, movie and music. It is evolving as a killer application device of Car Infotainment (Information & Entertainment). On the other hand, the technical barrier which is pushing into the market is low and the competition is intense in process of time. In the market situation, the design differentiation is embossed with important element. In this case study, focused on inkel which specialized in Audio/Video launching into the Car Navigation market with the new brand 'WideTouch', we tried to provide successful product design strategy based on proactive research on the market for the design differentiation through the target segmentation of the new generation, middle-aged and a woman consumer.