• 제목/요약/키워드: Road Severity

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3차원 노면굴곡 측정을 통한 운용지역 비포장 기동로의 가혹도 DB 구축 (The Severity DB Construction for Unpaved Road Through Measuring 3D Road Profile)

  • 이정환;이상호;조진우;강이석
    • 한국군사과학기술학회지
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    • 제20권2호
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    • pp.231-237
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    • 2017
  • The profile of unpaved road is an important issue in the reliability of endurance test. Efforts on measuring 2D road profile and analyzing the severity have been continued in the study of performing reliable endurance test evaluations through reflecting the results of such measurement and analysis. However, 2D road profile has limitation in measuring the profile in the road width direction because data is obtained along the trailer wheel track. Therefore, in order to measure 3-dimensional shape of road surface and construct severity DB of 3D road profile, Changwon Proving Ground(CPG) of Agency for Defense Development(ADD) developed 3D profilometer which is composed of laser scanner, IMU, GPS, encoder and so on. This paper focuses on the analysis of unpaved road severity using 3D road profile for army operation roads. This results will be used to manage test courses severity of CPG.

국도상 교통사고 심각도에 영향을 미치는 횡단구성 요소 분석 (Analysis of Road Cross Section Component Affecting Traffic Accident Severity on National Highway)

  • 박재홍;윤덕근
    • 한국안전학회지
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    • 제32권6호
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    • pp.143-149
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    • 2017
  • According to traffic accidents statistics, the number of fatalities, injuries and the rate of increase of traffic accidents have been decreasing over last 5-years. The fatality rate is 1.9 for total accidents but the fatality rate for single vehicle accidents shows a 7.9, which is 4 times greater than the average for all accidents. Single vehicle accidents, usually occur as a vehicle impacts a fixed objects on the roadside as the vehicle runs-off from the road. However, few researches have been conducted considering the accident severity of single vehicle accidents which impact to the fixed objects on the road. The single vehicle accident is directly related to the composition of road cross section, (since it is the required the minimum width of a road for all run-off-the-road vehicles to recover or come to a safe stop). Therefore, this study analyzes the influence of road cross section on traffic accidents to find out the severity of single vehicle accident. To analyze the road elements which are related to the accident severity, the Ordered Probit Model was used. As variables, the element of road cross section such as the radius(m), vertical curve(%), cross sectional grade(%), road width(m). number of climbing lane, median, and curb, were used (as was the 3-years of accidents data). This study found out that cross slope(%), road width(m), and the number of climbing lane are related to the severity of accident. The result of this study could be expected to improve the road safety and to be used as the base data for further road safety research.

비포장 시험로의 노면 굴곡 측정 및 가혹도 분석을 위한 노면굴곡측정장비 개발 (Development of Profilometer for Profile Measurement and Severity Analysis of Unpaved Test Courses)

  • 양진생;구상화;배철훈;이상호
    • 한국정밀공학회지
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    • 제24권1호
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    • pp.37-46
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    • 2007
  • The vibration environment essentially companied by vehicle operation on the ground is determined by the shape of road surface, which is called profile. This paper focuses on development of a profile and severity measurement system for unpaved test courses. In general, the profile and severity of unpaved road is an important issue in the reliability of endurance test. In order to measure unpaved road profile and severity, it is necessary to develop a profilometer system. The developed profilometer system is composed of data processing computer, power unit, air compressor and sensors(encoder, vertical gyro and laser displacement) This paper presents the measuring system configuration, measurement principle of road profile and analysis method of road characteristics used at CPG(Changwon Proving Ground) for this purpose.

딥러닝을 이용한 도로 문제점의 심각도 판단기법 개발 및 적용사례 분석 (Development of a Severity Level Decision Making Process of Road Problems and Its Application Analysis using Deep Learning)

  • 전우훈;양인철;이조영
    • 한국콘텐츠학회논문지
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    • 제22권10호
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    • pp.535-545
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    • 2022
  • 본 연구의 목적은 도로에서 발생하는 다양한 문제점을 심각도에 따라 구분하고, 이미지 객체검출을 통해 도로관리자의 우선처리 판단을 위한 의사결정방법을 제시하는 것이다. 이를 위해 도로에서 발생하는 문제점들을 도로불편신고 플랫폼인 척척앱의 신고내용을 이용하여 구분하였고, 각 문제점들의 심각도 가중치를 도로위험도 분석에서 사용되는 EPDO를 이용하여 산출하였다. 정립된 방법론의 현장 적용성 검토를 위해 실제 척척앱에서 추출된 이미지를 딥러닝을 이용하여 기계학습을 수행하고, 실제 이미지 테스트를 통해 결과를 검증하였다. 심각도가 높은 로드킬과 차로 장애물, 노면균열 등의 검출률은 90% 이상으로 나타나 실제 현장에 적용이 가능한 것으로 판단된다. 본 연구는 기존의 단순 민원접수 및 해결에서 벗어나 실제 도로현장에서 접수되는 문제점을 심각도로 구분함으로써 실제 민원 처리의 우선순위 선정에 큰 도움이 될 것으로 기대된다.

피로수명 예측법을 이용한 각 도로가 차량의 내구성에 미치는 가혹도 평가 (Severity Test of Road Surface Profile by Using the Fatigue Life Prediction Method)

  • 정원욱;강성수
    • 한국자동차공학회논문집
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    • 제3권6호
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    • pp.154-161
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    • 1995
  • There are several kinds of driving conditions according to the characteristic of each vehicle diver. Automaker produces vehicle strong enough to satisfy this several driving conditions at the point of vehicle durability. In order to develop the car in a short period, Automaker engineer tests vehicle at serveral accelerated durability test roads. Before testing the vehicle durability, test engineer must know how much this test road severe than general field road which is composed of high way, city road, paved road and unpaved road. This paper suggests two types of road severity test method that is using relative fatigue life prediction method and using absolute fatigue life prediction method, and also present the merits and demerits of two test methods.

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비포장 노면의 가혹도 관리에 관한 연구 (A Study on the Severity Control of Unpaved Test Courses)

  • 양진생;구상화;이정환;강도경;이상호
    • 한국정밀공학회지
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    • 제24권2호
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    • pp.47-57
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    • 2007
  • The vibration environment essentially companied by vehicle operation on the road is determined by the shape of road surface, which is called profile. In general, the profile and severity of unpaved road is an important issue in the reliability of durability test for vehicles. In order to maintain severity of unpaved road, it is necessary to develop profilometer system. We developed profilometer system which is composed of data processing computer, power unit, air compressor and sensors. This paper focuses on the severity management of unpaved test courses using neural networks. This paper presents the maintenance range for cross-country course in CPG(Chang-won Proving Ground) and the evaluation of similarity degree between unpaved roads.

결빙구간의 교통사고 심각도 영향 요인 연구 (A Study on Factors that Influence Traffic Accident Severity in Road Surface Freezing)

  • 이상준
    • 한국안전학회지
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    • 제32권6호
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    • pp.150-156
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    • 2017
  • A frozen road surface increases traffic accidents during the winter season. Hence, information on easily-frozen road sections and their specificities are required to prevent traffic accidents. Frozen road surfaces are determined by equipment measuring road surface temperatures. However, there are limitations in investigating the entire road network. Therefore, it is imperative to develop new methods that effectively determine road surface freezing risks. Meteorologically, road surfaces are frozen when the actual temperature cools down to the dew point temperature. Under this condition, there is likely to be frost if relative humidity reaches 100% and frozen road surfaces as the temperature gets lower. Meteorological characteristics give us an alternative to a direct measurement road surface temperature to estimate risks of road surface freezing. Based on the clues, the relationship between severity of traffic accidents and temperature changes is empirically investigated using Paju weather data. The results reveal that as the temperature gets lower and changes in current temperature are relatively small, the severity of traffic accidents become higher. In addition, the same is true when the difference between current temperature and the dew point temperature is relatively small, as it increases possibilities of road surface freezing. Future studies must investigate how current temperature and the dew point temperature affect road surface freezing and thereby establish a time-space scope to estimate possible road surface freezing sections using only weather and road material type data. This would provide invaluable information for predicting and preventing frozen road accidents based on weather patterns.

교통사고심각도 영향요인 분석에 관한 연구 - 곡선부가 포함된 국도를 중심으로 - (Analysis on Factors Affecting Traffic Accident Severity - Case Study : Arterial Included Curve Section -)

  • 박재홍;윤덕근;성정곤
    • 한국안전학회지
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    • 제28권6호
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    • pp.84-89
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    • 2013
  • The main causes of traffic accidents can be classified by 3 factors - human error, vehicle deficiency and road environmental problem and most accidents occurs not only 1 factor but combination of 2 or 3-factors. Among these factors, road environmental factor is the most important factor due to influence the behavior of cars and road users and road environmental factor affects 30% of total accidents approximately. The 5 years traffic accidents data analyzed to verify the accidents severity on Korea National Highways. In order to analyze the severity, Ordered Probit Model was used. As a independent variables of this model the number of lane, neighbor road environments, sight distance, vertical grade, lane width, shoulder width and traffic volume were used and as a dependent variables the minor injuries, serious injuries and fatalities were used. Research results shows that sight distance and lane width are identified as significant factors for the traffic accident severity and lesser sight distance and lane width shows greater traffic accident severity.

간선도로 기능별 보행사고 심각도 분석과 모형 개발 (Pedestrian Accident Severity Analysis and Modeling by Arterial Road Function)

  • 백태헌;박민규;박병호
    • 한국도로학회논문집
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    • 제16권4호
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    • pp.111-118
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    • 2014
  • PURPOSES: The purposes are to analyze the pedestrian accident severity and to develop the accident models by arterial road function. METHODS: To analyze the accident, count data and ordered logit models are utilized in this study. In pursuing the above, this study uses pedestrian accident data from 2007 to 2011 in Cheongju. RESULTS : The main results are as follows. First, daytime, Tue.Wed.Thu., over-speeding, male pedestrian over 65 old are selected as the independent variables to increase pedestrian accident severity. Second, as the accident models of main and minor arterial roads, the negative binomial models are developed, which are analyzed to be statistically significant. Third, such the main variables related to pedestrian accidents as traffic and pedestrian volume, road width, number of exit/entry are adopted in the models. Finally, Such the policy guidelines as the installation of pedestrian fence, speed hump and crosswalks with pedestrian refuge area, designated pedestrian zone, and others are suggested for accident reduction. CONCLUSIONS: This study analyzed the pedestrian accident severity, and developed the negative binomial accident models. The results of this study expected to give some implications to the pedestrian safety improvement in Cheongju.

판별분석을 활용한 주·야간 고속도로 교통사고 영향요인 비교연구 (Discriminant Analysis of Factors Affecting Traffic Accident Severity During Daytime and Nighttime)

  • 김경태;이수범;최지혜;박시내;서금열
    • 한국도로학회논문집
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    • 제18권3호
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    • pp.127-134
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    • 2016
  • PURPOSES : Low visibility caused by dark surroundings at nighttime affects the likelihood of accidents, and various efforts, such as installing road safety facilities, have been made to reduce accidents at night. Despite these efforts, the nighttime severity index (SI) in Korea was higher than the daytime SI during 2011-2014. This study determined the factors affecting daytime and nighttime accident severity through a discriminant analysis. METHODS : Discriminant analysis. RESULTS : First, drowsiness, lack of attention, and lighting facilities affected both daytime and nighttime accident severity. Accidents were found to be caused by a low ability to recognize the driving conditions and a low obstacle avoidance capability. Second, road conditions and speeding affected only the daytime accident severity. Third, failure to maintain a safe distance significantly affected daytime accident severity and nonsignificantly affected nighttime accident severity. The majority of such accidents were caused by rear-end collisions of vehicles driving in the same direction; given the low relative speed difference in such cases, the shock imparted by the accidents was minimal. CONCLUSIONS : Accidents caused by a failure to maintain a safe distance has lower severity than do accidents caused by other factors.