• Journal of the Korean Geographical Society
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• v.38 no.4
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• pp.478-489
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• 2003

The existing researches related to the fog have focused on mainly the fog itself and its spatial variation. This study defined the hazardous fog as the fog with visibility under 500 m which caused the severe dangerous situation on roads and might cause traffic accident due to insufficient visibility. This study aimed to develop the hazardous fog index which quantified the degree of danger and included frequency of fog, visibility and its duration. We applied the index to 3 years weather station data in Korea and the results showed the distribution of the hazardous fog and their priority in terms of safety management. This was the first study that introduced the fog index in Korea and that quantified the degree of hazardous fog. These application results were useful for identifying the dangerous area due to hazardous fog and contributing to ensure the safety of eventual road users and road authorities.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2009.04a
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• pp.475-478
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• 2009

안개가 교통사고를 유발시키는 원인을 살펴보면 운전자의 시거와 밀접한 관련이 있다. 짙은 안개가 발생하게 되면 돌발상황이 발생하였을 때 도로를 주행하던 차량이 안전하게 정지하기 위해서 필요한 최소 정지거리가 증가하게 되나 안개로 인한 시정이 나빠지게 되어서 사고발생확률이 높은 것이다. 또한 안전한 시거가 확보되지 않기 때문에 단독사고 발생 후 뒤따르던 차량이 전방을 확인하지 못한 상황에서 연쇄 충돌하게 되어 사고가 대형화된다. 이에 본 연구에서는 IT기술인 RFID와 USN을 이용하여 안개로 인한 시정거리에 따라 도로에 있는 과속카메라가 도로주행 한계속도를 자기 스스로 판단하여 자동조절하게 만들고 변경된 한계속도를 그 도로를 이용하는 차량운전자 휴대폰에 문자로 전송해주고 도로전광판에서도 정확하게 주행속도정보를 볼 수 있게 한다. 그리하여 도로주행 한계속도를 어기는 차량에는 범칙금을 부과하게 만든다. 본 연구를 통해 안개에 대한 교통사고의 위험을 줄이고 사회적 경제적으로 이익이 되도록 하기위해 기상상태 변화에 따른 USN 기반의 도로주행 한계속도 지능적 조정 관리시스템을 제안하고자 한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.4
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• pp.55-66
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• 2020

This study developed four algorithms and their associated indices that can quantify and qualify road hazards along roadways. Initially, relevant raw data can be collected from commercial vehicles by camera and DTG. Well-processed data, such as potholes, road freezing, and fog, can be generated from the Integrated management system. Road hazard algorithms combine these data with road inventory data in the Data Sharing Platform. Depending on well-processed data, four different road hazard algorithms and their associated indices were developed. To test the algorithms, an experimental plan based on passive DTG attached in probe vehicles was performed at two different test locations. Selection of the test routes was based on historical data. Although there were limitations using random data for commercial vehicles, hazardous roadways sections, such as fog, road freezing, and potholes, were generated based on actual historical data. As a result, no algorithm error was found in the entire test. Because this study provides road hazard information according to a section, not a point, it can be practically helpful to road users as well as road agencies.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2016.11a
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• pp.265-266
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• 2016

본 연구에서는 수집된 자료에서 화물차 교통사고를 분류하고 계절과 기상상태, 도로유형, 법규위반, 사고유형 측면에서 각각의 변수들이 사고 심각도에 미치는 영향을 파악함으로써 유의하게 화물차 교통사고 심각도를 높이는 요인을 분석하고자 하였다. 화물차 사고는 가을의 경우 사고 심각도의 오즈비가 1.23배로 증가하고, 안개가 꼈을 경우 사고 심각도는 16.49배 증가하는 것으로 나타났다. 법규위반, 도로형태, 사고유형 등 여러 요인에 의한 사고 위험도가 증가했지만 특히 도로 외 이탈로 인한 추락사고에서 사고 위험도가 크게 나타났으며 전도전복으로 인한 사고 위험도도 큰 것으로 나타났다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.205-210
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• 2006

차량간 무선통신을 이용한 긴급메시지 전파는 도로 주행 중에 발생할 수 있는 도로의 결빙, 낙석, 공사, 안개, 급커브 등의 위험 상황을 사전에 신속히 위험 지역의 차량들에게 알려 위험 상황 대처 능력을 크게 개선 할 수 있다. 그러나 차량간 통신은 일반적인 무선통신과 달리 노드의 고속 이동성, 노드 밀도, 네트워크 토폴로지의 빈번한 변화와 같은 차량 환경 고유의 특징을 가진다. 본 논문에서는 차량간 긴급메시지를 신속하게 전달하기 위한 시간예약 기반 릴레이 노드 선정 알고리즘을 제안하였다. 실험결과, 제안한 알고리즘이 거리 기반 릴레이 노드 선정 알고리즘에 비해 네트워크 부하와 전달 지연시간에서 25% 성능 향상을 보였으며, 낮은 노드 밀도에서는 더욱 우수한 성능을 보였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.6
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• pp.13-20
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• 2022

Road conditions and weather conditions are very important factors in the case of traffic accident fatalities in fog and ice sections that occur on roads in winter. In this paper, a simulation was performed to estimate the traffic accident risk rate assuming traffic accident prediction data. In addition, in this paper, in order to reduce traffic accidents and prevent traffic accidents, factor analysis and traffic accident fatality rates were predicted using the WEKA data mining technique and TENSOR FLOW open source data on traffic accident fatalities provided by the Korea Transportation Corporation.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.2
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• pp.116-127
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• 2017

A fog on road is known as a weather factor that affects traffic flow. The method in order to solve the problem, recently, Variable Speed Limit(VSL) which provide reasonable speed limit by road and weather conditions in real time is introduced. However, if drivers do not comply with VSL, the road safety more decrease than without VSL because individual vehicle's speed deviation is larger than without VSL. Therefore, this paper aims to analyze to speed limit compliance and traffic characteristics under foggy conditions with and without VSL. A test using driving simulator divides into normal and foggy condition with visibilities are 200m, 150, 50~100m. The test results showed that 70 subjects's average speed mostly obeyed speed limit, but speed deviation generally declined with VSL. Especially, the speed deviation more reduced under foggy conditions. According to this study, compliance of VSL clearly rose in low visibility and VSL helped improve road safety due to reduction of speed deviation. The results of this study are expected to make use of reasonable speed limit for reference.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2016.11a
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• pp.263-264
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• 2016

본 연구는 첨두 비첨두시간에 발생되는 교통사고의 주요 요인들을 발견하고 비교하여 각 시간대의 사고특성을 제시하고자 한다. 이에 로지스틱 회귀분석을 통해 분석한 결과 흐린 날씨의 경우 첨두시간에 발생되는 사망사고 위험도가 비첨두시간의 경우보다 더 높게 나타났고, 비첨두시간 사망사고 위험도의 경우 안개가 낀 날 증가하고 맑은 날 감소하는 모습이 나타났다. 과속의 경우 비첨두시간이 첨두시간의 경우 보다 크게 나타났고, 횡단 중인 보행자와 발생되는 사고에 대해서는 첨두시간의 사망위험도가 상대적으로 높은 것으로 나타났다. 차량단독 사고의 경우 공작물과 충돌로 인한 사망위험도는 첨두시간이 높은 것으로 나타났고, 도로 이탈로 인한 사망위험도는 비첨두시간이 높은 것으로 나타났다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.2
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• pp.30-42
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• 2021

The amount of compensation and the number of cases owing to car damage from pot holes on highways across the country increased by about 4.2 times and 3.5 times, respectively, in 2019 compared to 2015. Due to the increase in damage caused by these road hazards, the Ministry of Land, Infrastructure and Transport is developing technologies and services that can collect road hazard information by using devices on commercial vehicles (DTGs, black boxes, ADASs). In preparation for the development of these technologies, this study conducted an integrated assessment of algorithms developed for interrupted-flow and uninterrupted-flow traffic under three scenarios in order to provide road hazard information to drivers and road managers. As a result, the overall accuracy of the integrated assessment was derived at 81.88%. Errors generated in this integrated assessment reflect only missing data in less than 1 minute, GPS coordinate location and algorithm related errors, taking into account the purpose and assumptions of the assessment. Among them, we derive an accuracy of 90.15%overall by calibrating GPS error data. The results of this study can be used as basic data for improving the accuracy of location-based information collected by commercial vehicles and for policy development.

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