• Journal of Korean Society of Transportation
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• v.25 no.2 s.95
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• pp.63-72
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• 2007

The purpose of this study is to develop a traffic characteristic analysis, a correlation analysis with the variables of traffic characteristics, and accident estimation models while recognizing the seriousness of the traffic accidents. The analyses deal with the 181 4-legged signalized intersections that accounted for 1,183 out of 3,115 accidents in Cheongju in 2004. After measuring ADT, intersection area, average lane width, elevation, and other items as independent variables and the number of traffic accidents, the traffic accident rate (accidents per million entering vehicles) and equivalent property damage only (EPDO) figures as dependent variables which are estimated as influencing signalized intersection accidents, the estimation models are developed using correlation analysis and multiple regression analysis. In the analysis of the number of traffic accidents, the model indicates an $R^2$ of 0.612, and five independent variables are taken as significant factors. In the analysis of traffic accident rates, the model indicates an $R^2$ of 0.304 and five significant factors, including intersection area and ADT. Also, for the analysis or the EPDO numbers, which coincides with understanding the seriousness of the traffic accidents and the traffic characteristic analysis, the model indicates an $R^2$ of 0.559, and four independent variables (ADT, main street average lane width, elevation, and speed limit) as significant factors.

• Journal of Korean Society of Transportation
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• v.27 no.5
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• pp.51-62
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• 2009

Variable message signs (VMS) are a useful tool for providing real-time traffic information to drivers. In particular, effective warning information provision leading to safer driving would be an important countermeasure to prevent traffic accidents. The purpose of this study was to identify users' preferences for traffic safety warning information formats. A variety of warning information scenarios using text and pictograms were devised and investigated for the purpose of selecting more effective methods to provide warning information. A portable variable message sign (PVMS) was used to evaluate users' preferences. The results of this study can be used for designing better warning information for the enhancement of traffic safety.

• Electronics and Telecommunications Trends
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• v.26 no.6
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• pp.47-57
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• 2011

DARPA 무인차 대회 우승과 구글 자율주행 자동차로 유명한 세바스찬 스런 스탠포드대 교수는 18살이 되던 해에 가장 친한 친구를 교통사고로 잃었고, 그것을 계기로 계기로 무인차 개발에 나서게 되었다고 한다. 현재 대부분의 교통사고는 운전자의 과실로 발생하며, 기계의 보조나 자동제어가 있다면 대부분 예방할 수 있다. 또한 자동으로 차선을 유지하고 차간거리를 유지하게 해준다면 도로의 교통 수용량을 2배 내지 3배로 높일 수 있으며, 도로에서 보내는 시간과 연료를 절약할 수 있다. 현재 지능형 자동차 및 도로 인프라 기술은 이러한 운전자의 안전성, 편의성, 교통 효율성, 에너지 절약을 달성하기 위한 자동차와 인프라 간의 협력형 ITS(C-ITS: cooperative ITS) 방향으로 기술개발이 이루어지고 있으며, 본 고에서는 이와 관련된 차량 자동유도 요소 기술 및 동향에 대해서 살펴본다.

• International Journal of Highway Engineering
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• v.14 no.2
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• pp.131-143
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• 2012

The past researches on roadway segment safety estimation focused on intersections, which are the primary traffic accident regions. The past researches on roadway segments, However, analyzed the effects of certain factors on the traffic accident occurrence rate by organizing the individual geometric structures of the roads, and there is still a dearth of researches on the development of a traffic accident estimation model for rural roadway segments. Therefore, this research focused on rural two-lane and multilane roadway segments and developed traffic accident estimation models through the application of statistical techniques. This is required to explain such high frequency of zero counts in the traffic accident data. In this research, it was found that the Hurdle model is more suitable than the Poisson or negative binomial-regression model for explaining the excess zeros case. In addition, main variables were chosen to estimate their effects on traffic accident occurrence at rural roadway segments, and the safety at such rural roadway segments was estimated. In this research, it was assumed that there are different factors that affect the safety at two-way lane and multilane roadway segments, and a traffic accident estimation model was developed by dividing the two-way lane and multilane roadway segments.

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

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.5D
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• pp.453-459
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• 2010

In the study of traffic safety, it is utmost important to obtain more reliable estimates of the expected crashes for a site (or a segment). The observed crashes have been mainly used as the estimate of the expected crashes in Korea, while the empirical Bayes (EB) estimates based on the Poisson-gamma mixture model have been used in the USA and several European countries. Although numerous studies have used the EB method for estimating the expected crashes and/or the effectiveness of the safety countermeasures, no past studies examine the difference in the estimation errors between the two estimates. Thus, this study compares the estimation errors of the two estimates using a Monte Carlo simulation study. By analyzing the crash dataset at 3,000,000 simulated sites, this study reveals that the estimation errors of the EB estimates are always less than those of the observed crashes. Hence, it is imperative to incorporate the EB method into the traffic safety research guideline in Korea. However, the results show that the differences in the estimation errors between the two estimates decrease as the uncertainty of the prior distribution increases. Consequently, it is recommended that the EB method be used with reliable hyper-parameter estimates after conducting a comprehensive examination on the estimated negative binomial model.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.158-158
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• 2011

통상 교량구조물은 차도부와 보도부 및 그 부속시설로서 난간 및 연석부 등으로 구성되는데, 자동차 전용도로의 경우 보도부가 설치되지 않게 되고, 국내의 국도 및 지방도상의 많은 교량이 차도부와 보도부의 별도의 구분이 없이 보행자가 연석부 위로 통행하거나 여의치 않을 경우 난간에 기대어 통행하는 경우가 일반적이어서 안전사고의 위험에 직접 노출되는 경우가 많다. 이에 국토해양부에서는 최근 "도로의 구조 및 시설기준에 관한 규칙"을 개정하여 국내의 보행자 관련 교통사고로 인한 사망자가 전체 교통사고 사망자의 약 절반을 차지하는 실정을 고려하여 보행자의 안전한 통행로 확보를 통해 보행공간의 근본적인 개선이 불가피한 실정임을 시사 하였다. 이에 국내에서는 교량 보도부의 확장에 대한 관심이 높은 실정이며, 현재 보도부 확장에 대한 시공이 활발하게 이뤄지고 있다. 그러나 기존 교량에 보도부를 신설 혹은 확장함에 있어서 보도부 부재의 설치 간격 및 필요한 앵커볼트의 수량 및 부재의 성능 평가에 대한 기준이 명확하게 이뤄지지 않은 상태에서 설치되어져 왔었다. 기존에 시공되던 H-형강의 브라켓 단면의 경우 브라켓 단면의 중량이 커서 안정성 및 시공성이 떨어지며 과다한 앵커볼트의 체결 및 브라켓 단면의 과다설계로 인한 공사기간 및 비용의 증대를 가져오는 문제점이 있었다. 이에 본 연구에서는 교량 보도부의 확장 및 신설에 있어서 보도부 부재의 설치간격의 적정성 및 브라켓의 최적화를 위한 브라켓의 성능평가 시험을 수행하였다. 브라켓의 성능평가 시험은 1차 2차 3차 시험으로 나누어 진행되었으며, 1차시험은 H-형강의 브라켓단면을 원형강관으로서의 대체 가능성을 확인하였고, 2차 시험에서는 원형강관의 브라켓 단면의 앵커볼트수량의 최적화에 대한 시험을 수행하였으며, 3차 시험은 최적화된 브라켓 단면에 프리스트레싱의 도입으로 반력 및 인발력의 감소효과를 확인하는 연구를 수행하였다. 본 연구의 수행결과 기존의 설계 및 시공방법이 과다 설계가 이뤄졌음을 판단하였고, 브라켓 단면의 최적화를 통하여 기존 시공방법에 비해 시공성, 안전성, 경제성을 높일수 있을 것으로 판단된다.

• Journal of Digital Policy
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• v.2 no.4
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• pp.1-10
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• 2023

This study conducted preliminary study to identify effective ways to use ChatGPT in traffic policing by analyzing ChatGPT's responses to the driver's license test and the road traffic accident appraiser test. I collected ChatGPT responses for the driver's license test item pool and the road traffic accident appraiser test using the OpenAI API with Python code for 30 iterative experiments, and analyzed the percentage of correct answers by test, year, section, and consistency. First, the average correct answer rate for the driver's license test and the for road traffic accident appraisers test was 44.60% and 35.45%, respectively, which was lower than the pass criteria, and the correct answer rate after 2022 was lower than the average correct answer rate. Second, the percentage of correct answers by section ranged from 29.69% to 56.80%, showing a significant difference. Third, it consistently produced the same response more than 95% of the time when the answer was correct. To effectively utilize ChatGPT, it is necessary to have user expertise, evaluation data and analysis methods, design a quality traffic law corpus and periodic learning.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.222-234
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• 2020

Autonomous vehicles are equipped with a wide rage of sensors such as GPS, RADAR, LIDAR, camera, IMU, etc. and are driven by recognizing and judging various transportation systems at intersections in the city. The accident ratio of the intersection of the autonomous vehicles is 88% of all accidents due to the limitation of prediction and judgment of an area outside the sensing distance. Not only research on non-signalized intersection collision avoidance strategies through V2V and V2I is underway, but also research on safe intersection driving in failure situations is underway, but verification and fragments through simple intersection scenarios Only typical V2V failures are presented. In this paper, we analyzed the architecture of the V2V module, analyzed the causal factors for each V2V module, and defined the failure mode. We presented intersection scenarios for various road conditions and traffic volumes. we used the ISO-26262 Part3 Process and performed HARA (Hazard Analysis and Risk Assessment) to analyze the risk of autonomous vehicle based on the simulation. We presented ASIL, which is the result of risk analysis, proposed a monitoring concept for each component of the V2V module, and presented monitoring coverage.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1229-1236
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• 2022

In this paper, we studied accident-aware smart streetlights to prevent secondary accidents when driving on highways. It used Arduino and sensors to inform drivers of weather conditions, incorporated functions such as LED brightness control according to sunlight and night driving vehicles, and used Raspberry Pi camera OpenCV to learn various traffic accidents, natural disasters, and wildlife.