• 한국도로학회논문집
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• 제17권3호
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• pp.107-115
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• 2015

PURPOSES : The purposes of this study are to compare the day and night characteristics and to develop the models of traffic accidents. in Rural Signalized Intersections METHODS : To develop day and night traffic accident models using the Negative Binomial Model, which was constructed for 156 signalized intersections of rural areas, through field investigations and casualty data from the National Police Agency. RESULTS : Among a total of 17 variances, the daytime traffic accident estimate models identified a total of 9 influence factors of traffic accidents. In the case of nighttime traffic accident models, 11 influence factors of traffic accidents were identified. CONCLUSIONS : By comparing the two models, it was determined that the number of main roads was an independent factor for daytime accidents. For nighttime accidents, several factors were independently involved, including the number of entrances to sub-roads, whether left turn lanes existed in major roads, the distances of pedestrian crossings to main roads and sub-roads, lighting facilities, and others. It was apparent that if the same situation arises, the probability of an accident occurring at night is higher than during the day because the speed of travel through intersections in rural areas is somewhat higher at night than during the day.

• 대한토목학회논문집
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• 제41권1호
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• pp.49-56
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• 2021

본 연구의 목적은 CRP (Continuous Risk Profile) 분석을 이용하여 야간에만 교통사고가 많이 발생하는 야간 특화 교통사고 다발구간을 선정하는 방법론을 개발하는 것이다. 또한 이연구의 다른 목적은 CRP 분석을 이용하여 야간 특화 교통사고 다발구간의 특성을 제시하는 것이다. 본 연구에서 CRP 분석은 실제 교통사고 데이터를 이용하며 대상 노선의 교통량 고려해 분석되었다. 또한 CRP 분석에 사용되는 변수는 국내 고속도로의 실정에 적합한 변수로 선정하였다. 본 연구에서는 야간 특화 교통사고를 분석하기 위한 방법으로 야간 CRP에서 주간 CRP를 빼는 방법을 사용하였다. 결과적으로 CRP 분석을 사용하여 야간 특화 교통사고 다발구간을 선정할 수 있었다. 또한 야간 특화 교통사고 다발구간은 IC나 터널이 설치된 구간으로 일반구간과 편차가 있었다. 결론적으로, 야간 특화 교통사고 다발구간 산정에 CRP 분석을 사용할 수 있었으며, IC 또는 터널시설이 설치된 구간에서 야간 특화 교통사고가 많이 발생하여 개선이 필요한 지점으로 선정되었다. 또한 IC 또는 터널시설이 설치된 구간에서 야간 특화 교통사고가 많이 발생한 것은 조명시설로 인한 야간 시인성의 문제에서 요인한 것으로 추론된다.

• 대한인간공학회지
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• 제35권3호
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• pp.135-142
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• 2016

Objective: Objective of this study is to provide characteristics of injury frequency and severity by driving condition in large truck-related traffic collisions. Background: Traffic accidents involving large trucks draw a lot of attention in accident prevention and management policies since they bring about severe human and financial damages. Method: In order to identify the major risk factors of accidents by driving condition, 255 recognized traffic accidents by large truck drivers were analyzed in terms of time of the day, road type, and shape of the road. Results: The driving conditions in the results are represented by the following form of combination, "Road Type (Non-expressway or Express) - Shape of Roads (Straight, Curved, Downhill, or Intersection) - Time of Accidents (Day or Night)". In the analysis of injury frequency, Non-expressway-Straight-Day condition was the most frequent one. Meanwhile, Expressway-Curved-Day, Non-expressway-Curved-Night and Non-expressway-Intersection-Night were evaluated as high level in view of injury severity. Also, Expressway-Straight-Night is the driving condition that is the highest in risk among the conditions that have to be managed as grade "High". Non-expressway-Straight-Night, Non-expressway-Downhill-Day, and Non-expressway-Curved-Day are also categorized as grade "High". Conclusion and Application: Safety managers in the fields require basic information on accident prevention that can be easily understood. The research findings will serve as a practical guideline for establishing preventive measures for traffic accidents.

• Journal of Multimedia Information System
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• 제5권2호
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• pp.111-114
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• 2018

Traffic accident analysis is important to reduce the occurrence of the accidents. In this paper, we analyze the traffic accident with Apriori algorithm to find out an association rule of traffic accident in Korea. We first design the traffic accident analysis model, and then collect the traffic accidents data. We preprocessed the collected data and derived some new variables and attributes for analyzing. Next, we analyze based on statistical method and Apriori algorithm. The result shows that many large-scale accident has occurred by vans in daytime. Medium-scale accident has occurred more in day than nighttime, and by cars more than vans. Small-scale accident has occurred more in night time than day time, however, the numbers were similar. Also, car-human accident is more occurred than car-car accident in small-scale accident.

• 제어로봇시스템학회논문지
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• 제10권6호
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• pp.501-509
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• 2004

The frequency of car accidents is very high at the intersection. Because of the state of a traffic signal, quarrels happen after accidents. At night many cars run away after causing an accident. In this case, accident analyses have been conducted by investigating evidences such as eyewitness accounts, tire tracks, fragments of the car or collision traces of the car. But these evidences that don't have enough objectivity cause an error in judgment. In the paper, when traffic accidents happen, the traffic accident detection system that stands on the basis of images and sounds detects traffic accidents to acquire abundant evidences. And, this system transmits 10 seconds images to the traffic center through the wired net and stores images to the Smart Media Card. This can be applied to various ways such as accident management, accident DB construction, urgent rescue after awaring the accident, accident detection in tunnel and in inclement weather.

• 한국도로학회논문집
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• 제17권3호
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• pp.117-124
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• 2015

PURPOSES : The purpose of this study is to verify traffic accident injury severity factors for elderly drivers and the relative relationship of these factors. METHODS : To verify the complicated relationship among traffic accident injury severity factors, this study employed a structural equation model (SEM). To develop the SEM structure, only the severity of human injuries was considered; moreover, the observed variables were selected through confirmatory factor analysis (CFA). The number of fatalities, serious injuries, moderate injuries, and minor injuries were selected for observed variables of severity. For latent variables, the accident situation, environment, and vehicle and driver factors were respectively defined. Seven observed variables were selected among the latent variables. RESULTS : This study showed that the vehicle and driver factor was the most influential factor for accident severity among the latent factors. For the observed variable, the type of vehicle, type of accident, and status of day or night for each latent variable were the most relative observed variables for the accident severity factor. To verify the validity of the SEM, several model fitting methods, including ${\chi}^2/df$, GFI, AGFI, CFI, and others, were applied, and the model produced meaningful results. CONCLUSIONS : Based on an analysis of results of traffic accident injury severity for elderly drivers, the vehicle and driver factor was the most influential one for injury severity. Therefore, education tailored to elderly drivers is needed to improve driving behavior of elderly driver.

• 한방재활의학과학회지
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• 제25권1호
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• pp.87-93
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• 2015

Objectives This study investigated the effect of korean medicine treatment with Dangguisoo-san plus Yuhyangjeongtong-san (Dangguixu-san plus Ruxiangdingtong-san) on traffic accidents patients with night pain. Methods 77 traffic accidents patients with night pain were treated with Dangguisoo-san plus Yuhyangjeongtong-san (Dangguixu-san plus Ruxiangdingtong-san), acupuncture, cupping, physical therapy. VAS (Visual Analogue Scale), NDI (Neck Disability Index), ODI (Oswestry disability index), total sleep time, the number of bed time arousal were checked to evaluate the effectiveness of the treatment. Results VAS, NDI, ODI of patients treated with Dangguisoo-san plus Yuhyangjeongtong-san (Dangguixu-san plus Ruxiangdingtong-san) were all improved and there were statistical significance (p<0.05). Total sleep time, the number of bed time arousal of patients treated with Dangguisoo-san plus Yuhyangjeongtong-san (Dangguixu-san plus Ruxiangdingtong-san) were all improved and there were statistical significance (p<0.05). Conclusions According to the study, Korean complex therapy with Dangguisoo-san plus Yuhyangjeongtong-san (Dangguixu-san plus Ruxiangdingtong-san) might effective in traffic accidents patients with night pain.

• 한국도로학회논문집
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• 제13권1호
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• pp.13-19
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• 2011

본 연구의 목적은 가로구간 사고특성을 분석하고 주 야간 사고모형을 개발하는데 있다. 이를 위해 청주시 가로구간 24개 도로를 연구대상으로 2007년 사고 자료를 이용한다. 연구의 주요결과는 다음과 같다. 첫째, 가로구간의 주간 사고건수가 야간 사고건수보다 많았지만, 사고율에서는 야간사고율이 높은 것으로 분석되었다. 둘째, 4개의 사고모형이 개발되었으며, 이들은 통계적으로 모두 유의한 것으로 분석되었다. 마지막으로, 모형에 채택된 독립변수를 활용하여 주 야간 사고모형의 차이가 비교 분석되었다.

• 한국산학기술학회논문지
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• 제15권7호
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• pp.4634-4643
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• 2014

야간에는 주간에 비해 통행량감소에 따른 운전자의 법규위반이 많아지고 음주 및 운전자의 피로가 증가하여 교통사고의 위험성은 급격히 증대된다. 따라서 야간에 발생하는 교통사고를 줄이기 위해서는 야간의 특수성을 고려한 실효성 있는 교통사고 방지대책이 수립되어야 한다. 야간에 보행자 교통사고가 잦은 지점에 LED안전유도블록을 설치하여 도로조명개선 효과를 분석하였다. 횡단보도진입로인 보행자대기구간에 보행선 개념으로 업라이트조명방식인 LED안전유도블록을 설치하여 효과를 분석한 결과, LED를 설치한 지점에서 야간 교통사고 발생건수는 26.2% 부상자수는 21.2% 그리고 사망자 수는 38.3%감소하였다. 본 연구는 안전보행조명장치의 설치시기가 서로 다르며 그 표본의 수가 적어 전국적인 대표성을 가지고 있다고 볼 수는 없으나, 체계적인 분석을 통한 개선사업의 효과를 구체화 할 수 있는 대안은 제시할 수 있을 것이다.

• 대한토목학회논문집
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• 제34권2호
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• pp.561-571
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• 2014

전라북도내 14개 시 군의 교통사고 자료를 활용하여 고령운전자의 교통사고 피해 심각성을 분석하였다. 교통사고는 1차적으로 개인 및 운전환경 속성과 2차적으로 도시관련 속성에 의해 영향을 받는 2단계 위계적 특성을 갖는 것으로 가정하였다. 위계적 특성을 고려한 피해 심각성에 대한 영향요인을 분석하기 위해 다수준분석모형을 활용하였다. 분석결과로서 65세 이후의 고령운전자는 연령이 증가할수록 교통사고로 인한 피해상황이 심각해짐을 보여주며 안전한 운전방법의 교육과 교통사고를 미연에 방지하기 위한 대안이 필요하다. 음주운전은 고령운전자에게 사고발생시 피해 심각성을 크게 할 경향이 높은데, 사망사고에 있어서 비고령자에 비해 발생비율이 약 3.0배 이상 높았다. 고령운전자는 야간 교통사고 발생빈도가 높은 편이나, 낮 시간대의 교통사고일수록 피해 심각성은 높아졌다. 고령운전자는 비고령자보다 흐린 날씨에서 사고 발생빈도가 높으나, 심각성에서는 맑은 날에 높아짐을 보였다. 습윤상태의 노면이 피해 심각성에 큰 영향을 주고 있는데, 비고령자에 비해서 고령운전자가 중상 및 사망비율도 높은 것으로 분석되었다.