• Information and Communications Magazine
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• v.30 no.10
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• pp.18-24
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• 2013

협력 지능형 교통 시스템 (C-ITS: Cooperative Intelligent Transportation System)은 차량이 도로 인프라 또는 다른 차량과 서로 통신하면서 전방의 교통사고 및 장애물과 주변 차량 정보를 공유하여 위험상황을 피할 수 있도록 사전에 경고하는 미래형 교통체계이다. C-ITS는 보행자 및 차량의 안전을 향상시키고 배출탄소량 감소 및 교통물류의 효율성을 증가시킬 수 있는 미래사회의 핵심 인프라가 될 전망이다. C-ITS의 성공적인 실현을 위해서는 다중 센서 융 복합 기반 교통정보 수집, 교통정보를 쌍방향으로 유통하기 위한 통합 무선 통신망, 스마트 기기와 이동통신망을 활용한 실시간 교통정보 수집 및 빅 데이터 처리와 주문형 서비스 제공 등의 핵심 기술 개발이 필요하다. 본 고에서는 협력형 교통 환경에서의 C-ITS 구조 및 관련 핵심 요소 기술을 소개하고, 앞으로 해결할 과제를 소개 한다.

• Journal of the KSME
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• v.35 no.8
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• pp.691-697
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• 1995

인체 머리부분의 충격력이 가했을 때 어떠한 상해가 발생할 것인가에 대하여 수치해석적인 접 근을 시도하였다. 복잡한 생체구조의 단순화, 비선형적인 재료 특성으로 인하여 해석 결과는 정 량적인 정확성보다 정성적인 경향성에 보다 큰 의미가 있다고 할 수 있으며, 앞으로 개선할 여 지가 많다고 할 수 있다. 또 의학적인 부분에 관한 기초지식이 필요하기 때문에 의학계의 조건 또는 의학계와의 공동 연구가 요망된다고 하겠다. 해석 결돠의 검증은 과거에는 주로 사체 및 동물 심험에 의하여 행해졌으나 현재에는 사체 실함이 금지되어 있고, 동물(원숭이, 개, 돼지 등 )을 이용한 실험도 동물 보호단체의 반발로 여의치 않은 형편이다. 현재는 교통사고 등에서의 사체 부검 및 사고 상황의 역추적에 의해 생체 실함을 대신할 데이터가 마련되고 있으나, 정확한 사고 상황을 파악하는 것 자체가 또한 어려운 작업이다. 그래서 각 나라에서 일부분씩 가지고 있는 생체에 대한 데이터를 모아 전세계적인 데이터 베이스를 만들어 공유하려는 작업이 진행 되고 있다. 이렇게 실험이 불가능하거나 어려운 상황하에서는 수치 시뮬레이션이 주요한 해석 수단이 될 수 있을 것이라 생각된다.

• Journal of the Korean Data and Information Science Society
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• v.21 no.6
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• pp.1081-1090
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• 2010

Most nations including Korean government make a great endeavor to realize low-carbon and green-growth world. We also work hard to expand bicycle facilities and bicycle road in order to increase bicycle transportation rate. Nowadays number of cyclists is increasing but fortunately, bicycle accidents also increase rapidly. Most data of bicycle accidents published by National Police Agency annually are represented as frequencies in two dimensional contingency tables. In this work, risk rates and characteristics of bicycle accidents are analyzed by using concepts of the probability and conditional probability. Especially with numbers of estimated cyclists and registered cars, risk rates of various kinds of bicycle accidents are obtained. Under the assumption of the conditional independence, probability of bicycle accident occurred at realistic situations could be estimated. Furthermore we discuss to reduce bicycle accidents with these results obtained in this work.

• International Journal of Highway Engineering
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• v.11 no.1
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• pp.69-83
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• 2009

According to the accident statistics of 2006, it can be recognized that drivers' characteristics and driving behaviors are the most causational factors on the traffic accidents. At present, many recording tools such as digital speedometer or black box are distributed in the market to meet social requests of decreasing traffic accidents and increasing safe driving behaviors. However, it is also true that the system preventing any possible vehicle accidents in advance has not been developed. In this study, we developed critical value for deciding dangerous driving behaviors. The developed critical value could be used to contribute to safety driving management systematization and safety driving behaviors.

• International Journal of Highway Engineering
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• v.11 no.3
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• pp.85-95
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• 2009

According to the accident statistics published by the National Police Agency in 2007, the number of commercial vehicle accidents explains 3.5 percent of the total number of traffic accidents of the year. Compared to other types of vehicles commercial vehicles may provide more serious damages to both driver himself and passengers. Thus, they generate more serious social and economic problems. There have been various forms of systems such as a digital speedometer or a black box to meet the social requirement for reducing traffic accidents and improving safe driving. However, since the current systems are based on the data often accidents happened, there are lots of limitations to control drivers in real-time. Also, the current speedometers provide drivers with only speeds of vehicles and RPM information regardless of actual dangerous drive behaviors. Therefor, they lack of the effectiveness in terms of safety. In this research, real-time information systems for improving driver safety based on automatic risky driving behaviors, and thresholds to determine risky driving patterns were studied.

• Journal of Korean Society of Transportation
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• v.25 no.4
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• pp.69-77
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• 2007

This study presents comparison results for pedestrian accident reconstruction models representing the relationship between collision speed and horizontal distance that a body travels while falling and sliding. A set of 49 reliable pedestrian accident cases are applied to compare the existing reconstruction models. In addition, the authors investigate the effects of a set of parameters associated with the effects of the frontal shape of a vehicle on the horizontal distance a pedestrian travels while falling and sliding. It has been revealed that the length of the bumper is the most dominant factor to affect the horizontal distance of pedestrian travel after collision. Further analyses utilizing more accident data need to conducted to develop a more accurate and reliable reconstruction model.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.156-157
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• 2023

중앙해양안전심판원의 연간 통계에 따르면 어선의 충돌사고가 전체 충돌사고 중 과반 이상을 점유한다. 충돌사고에서 어선은 타선종보다 규모가 작고 빠른 속력으로 통항함에 따라 중대 사고의 비율도 높다. 이에 따라 충돌요인을 기반으로 한 사고 심각도간의 관계 규명이 필요하다. 본 논문에서는 도로 교통공학에서 다루고 있는 유효충돌속도의 개념을 활용하여, 어선 충돌 시 유효충돌속도를 산출하는 방법을 제시하였다. 그리고 유효충돌속도가 증가할수록 사고 선체 손상 심각도가 증가하는지를 확인하기 위해, 순서형 로지스틱 회귀분석 방법으로 중앙해양안전심판원 해양사고 재결서 5년간(2016~2020년)의 데이터 286건을 분석하였다. 분석결과, 충돌 당시 산출된 유효충돌속도가 클수록 중손과 전손사고의 확률은 증가하는 것을 확인할 수 있었다. 본 연구 결과는 추후 유효충돌속도를 기반으로 한 어선의 적정항행 속력이나 제한 속력의 제한 등에 활용될 수 있을 것으로 기대된다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.315-316
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• 2022

In order to reduce maritime accidents and promote maritime safety and the happiness of the sea people, the Ministry of Oceans and Fisheries has been providing Intelligent Maritime Traffic Information services to the public from the end of January 2021. Various information is generated and collected through this service, and research and development is underway to develop and verify a service algorithm by applying the collected information to data science to realize a safer and more efficient intelligent maritime traffic information service. In order to develop and implement this, a data pipeline system that connects the collected and stored data and can access, use, and store data from multiple systems smoothly is required. Therefore, in this study, a data pipeline that can be used in various systems such as a datascience based service algorithm development environment and an intelligent maritime transportation service test-bed was designed.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.771-782
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• 2021

Regular or irregular situations such as traffic accidents, damage to road facilities, maintenance or repair work, and vehicle breakdowns occur frequently on highways. It is required to provide traffic services to drivers by promptly recognizing these regular or irregular situations, various techniques have been developed for rapidly collecting data and detecting abnormal traffic conditions to solve the problem. We propose a method that can be used for verification and demonstration of unexpected situation algorithms by establishing a system and developing algorithms for detecting unexpected situations on highways. For the detection of emergencies on expressways, a system was established by defining the expressway contingency and algorithm development, and a test bed was operated to suggest a method that can be used for verification and demonstration of contingency algorithms. In this study, a system was established by defining the unexpected situation and developing an algorithm to detect the unexpected situation on the highway, and a method that can be used verifying and demonstrating unexpected situations. It is expected to secure golden time for the injured by reducing the effectiveness of secondary accidents. Also predictable accidents can be reduced in case of unexpected situations and the detection time of unpredictable accidents.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.3
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• pp.99-105
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• 2014

Since traffic accidents account for the highest proportion of the artificial disasters which occur in urban areas along with fire, more scientific an analysis on the causes of traffic accidents and various prevention measures against traffic accidents are needed. In this study, the research selected Jinju-si, which belongs to local small and medium-sized cities as a research target to analyze the characteristics of temporal and spacial distribution of traffic accidents by associating the data of traffic accidents, occurred in 2013 with the causes of traffic accidents and location information that includes occurrence time and seasonal features. It subsequently examines the spatial correlation between traffic accidents and the characteristics of urban space development according to the plans of land using. As a result, the characteristics of accident distribution according to the types of accidents reveal that side right-angle collisions (car versus car) and pedestrian-crossing accident (car versus man) showed the highest clustering in the density analysis and average nearest neighbor analysis. In particular, traffic accidents occurred the most on roads which connect urban central commercial areas, high-density residential areas, and industrial areas. In addition, human damage in damage conditions, clear day in weather condition, dry condition in the road condition, and three-way intersection in the road way showed the highest clustering.