• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2016.05a
• /
• pp.332-335
• /
• 2016

2000년대 들어 정보기술의 발달로 정보공유와 수집을 쉽게 할 수 있게 되면서 많은 정보를 활용하여 미래의 사람들의 행동과 생각을 예측하기에 이른다. 특히, 정부는 보안과 위험관리 분야에 빅데이터 개념을 도입하여 미래에 대한 위험을 예측하고 효과적으로 관리할 수 있게 되었다. 선박도 사람과 마찬가지로 선박운항과 관련된 수많은 정보들을 만들어낸다. 이렇게 생성된 정보는 각 기관에 흩어져 관리되고 있으며, VTS센터에서 수집되는 정보들은 아직까지 체계적인 관리조차 이루어지지 않고 있다. 본 제언은 국내 VTS센터, 나아가 인근 국가의 VTS센터에서 생성되는 각종 정보들과 관련 기관에서 활용되는 정보들을 한 곳에서 통합하여 관리하는 시스템을 구축하고 이곳에서 공유 분석되는 정보를 통해 조금이나마 선박사고의 위험성을 감소시킬 수 있는 관제 방법에 대해서 생각해보았다. 이에 대한 방안 중 하나로 정보공유를 통한 선박 사고 개연성 예측 모델을 제시하고자 한다. 이후 연구를 통해, 본 제언에서 제시된 사고 개연성 예측 모델을 위한 위험유발 인자와 사고의 발생과의 상관을 통계적으로 해명할 수 있게 된다면 본 모델을 활용하여 보다 선제적이고, 효율적인 선박관제를 수행할 수 있을 것으로 생각된다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2011.06a
• /
• pp.66-67
• /
• 2011

항로를 횡단하여 건설되는 교량이 증가하고 해상교통의 증가에 비례하여 항로의 혼잡도가 증가하는 만큼 선박과 교량의 충돌우려가 커지고 있다. 선박과 교량의 충돌은 단순 접촉사고가 아닌 재난급 사고의 개연성이 크다. 직접 손괴를 일으키는 큰 충돌이 아니더라도 선박과 교각의 충격진동에 의하여 교량상판이 균형을 잃고 연쇄 붕괴하는 일이 종종 발생하여 많은 인명의 손실이 발생하고 있기 때문이다. 적정 교각 폭, 교각의 시인성 증진을 위한 표지와 등화의 설치 및 점등방법 등의 환경 여건 개선, 충돌방지공의 효과 검토, 교량 통과전 사전 점검사항, 교량 부근에서 선박의 조종성 유지방안, 예선의 효과 연구, 관제기법과 안전규정, 불가피한 충돌이나 접촉의 경우 손실 감소대책과 충돌방지공의 효과 등 다각적인 연구가 필요하다. 면피용 탁상이론을 배제하고 현장실무의 경험을 바탕으로 실효적인 방안을 제시하고자 한다.

• Journal of Korean Society of Transportation
• /
• v.26 no.4
• /
• pp.111-121
• /
• 2008

Using variable speed limits (VSL) is a key strategy for preventing traffic accidents and alleviating traffic congestion. This study proposes an algorithm to operate VSLs on freeways for traffic safety. The proposed algorithm consists of two components based on accident likelihood estimation and analysis of safe stopping distance under various environmental conditions. A binary logistic regression technique is used for estimating accident likelihood. It is expected that the proposed algorithm would be successfully applied in practice in support of an integrated traffic and environmental condition monitoring system. Technical issues associated with the field implementation are also discussed.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2018.05a
• /
• pp.268-269
• /
• 2018

울산항은 국내 최대의 액체화물 거점항만으로 지속적인 물동량 증가에도 불구하고 다른 무역항에 비해 정박지가 협소하고 날씨의 영향으로 해양사고 발생 개연성이 매우 높은 실정이다. 울산항의 지형학적인 특성과 선박 교통량을 고려하여 울산항 정박지의 전반적인 실태를 분석하고, 정박지 투묘 선박의 안전성 확보를 위해 효율적인 정박지 운영 및 개선방안을 제시하였다.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.21 no.2
• /
• pp.33-43
• /
• 2022

The number of car crashes increases along with the increasing number of vehicles. Hence, diverse initiatives on traffic accidents have been implemented, targeting zero crash fatalities. According to the 3rd Traffic Safety Master Plan of 2016, the current standard selecting road accident black spots prioritizes locations with the high cumulative death toll. While this standard is suitable for roads that a city government manages to some extent, it is not suitable for roads less than 20 meters that a borough (Gu) handles. The roads under the supervision of a borough do not have enough death toll, and thus improvements on its road accident black spots are highly limited. In addition, discovering the causes of traffic accidents is not easy when the number of car accidents is obtained by considering only fatal accidents, which are relatively low in number. Therefore, including all traffic accidents might identify causes of accidents and result in better advancements. Therefore, this research follows rational decision-making and suggests new National Traffic Safety Master Plan standards. These new standards are obtained by comparing accident costs between the location of fatal crashes and road accident black spots. The analysis result shows that considering all types of accidents yields better results. For example, a Three-way Intersection in front of Zion Day Care Center, one of the selected spots under the current standard, has lower road crash costs than Sinchon Intersection, a selected spot under a new standard. Therefore, the study concludes that the standards to select road accident black spots need to include traffic accident severity and road crash costs.

• International Journal of Highway Engineering
• /
• v.13 no.2
• /
• pp.49-56
• /
• 2011

Understanding various casual factors affecting the occurrence of freeway traffic crash is a backbone of deriving effective countermeasures. The first step toward understanding such factors is to identify crash risks on freeways. Unlike existing studies, this study focused on the unsafe vehicle maneuvering that can be detected by in-vehicle sensors. The recent advancement of sensor technologies allows us to gather and analyze detailed microscopic events leading to crash occurrence such as the abrupt change in acceleration. This study used an accelerometer to capture the unsafe events. A set of candidate variables representing unsafe events were derived from analyzing acceleration data obtained by the accelerometer. Then, the crash risk was modeled by the binary logistic regression technique. The probabilistic outcome of crash risk can be provided by the proposed model. An application of the methodology assessing crash risk was presented, and further research items for the successful field implementation were also discussed.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.19 no.2
• /
• pp.138-144
• /
• 2013

Large and small marine accidents which are related to vessel's navigation are happening continuously and these maritime accidents have caused loss of lives and properties, and serious maritime environmental pollution damage. It is also true that maritime pollution damage is increasing due to these accidents, probability of growth of seaborne volume and complicated maritime traffic environment. Korea, recently, is developing an evaluation index which can assess sea risk through the evaluation of maritime traffic environment and provide danger and general information with relation to maritime traffic environment on target sea area to evaluate maritime traffic safety. In this paper, we intend to confirm the validity of maritime traffic safety on the basis of vessel navigator's risk consciousness and various sailing conditions by using the ship handling simulator. To confirm the validity of sailing vessel's maritime traffic safety, we use analysis of variance. By using analysis of variance, we analyze vessel navigator's characteristics, distance, speed and encounter type between vessels. Through multiple comparison of each factor's risk difference, we can confirm the change of numerical value of risk difference in statistical aspect.

• Proceedings of KOSOMES biannual meeting
• /
• 2005.11a
• /
• pp.7-14
• /
• 2005

As the numbers cf vessels in and out cf korean ports and passing ships through korean waters are increasing, possibilities of marine accidents grow higher and damages caused by such accidents would be expected larger. The author accordingly try to seek for the appropriate measures to enhance the present korean Search and Rescue(SAR) systems and future plans comparing korean system with international movement and relevant systems of maritime advanced countries.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.7 no.5
• /
• pp.64-76
• /
• 2008

To increase road safety at blackspots, it is needed to develop a new method that can process before accident occurrence. Accident situation could result from traffic conflict. Traffic conflict decision technique has an advantage that can acquire and analyze data in time and confined space that is less through investigation. Therefore, traffic conflict technique is highly expected to be used in many application of road safety. This study developed traffic conflict decision program that can analyze and process from signalized intersection image. Program consists of the following functional modules: an image input module that acquires images from the CCTV camera, a Save-to-Buffer module which stores the entered images by differentiating them into background images, current images, difference images, segmentation images, and a conflict detection module which displays the processed results. The program was developed using LabVIEW 8.5 (a graphic language) and the VISION module library.

• Journal of Korean Society of Transportation
• /
• v.35 no.2
• /
• pp.116-128
• /
• 2017

Traffic accidents can be defined as a physical collision event of vehicles occurred instantaneously when drivers do not perceive the surrounding vehicles and roadway environments properly. Therefore, detecting the high potential events that cause traffic accidents with monitoring the interactions among the surroundings continuously by driver is the prerequisite for prevention the traffic accidents. For the analysis, basic data were collected to analyze interactions using a test vehicle which is equipped the GPS(Global Positioning System)-IMU(Inertial Measurement Unit), camera, radar and RiDAR. From the collected data, highway geometric information and the surrounding traffic situation were analyzed and then safety evaluation algorithm for driving vehicle was developed. In order to detect a dangerous event of interaction with surrounding vehicles, locations and speed data of surrounding vehicles acquired from the radar sensor were used. Using the collected data, the tangent and curve section were divided and the driving safety evaluation algorithm which is considered the highway geometric characteristic were developed. This study also proposed an algorithm that can assess the possibility of collision against surrounding vehicles considering the characteristics of geometric road structure. The methodology proposed in this study is expected to be utilized in the fields of autonomous vehicles in the future since this methodology can assess the driving safety using collectible data from vehicle's sensors.