• Title/Summary/Keyword: Crash Accidents

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Evaluation of EuroSID-2 & WorldSID in Pole Side Impact (기둥측면충돌시험에서 EuroSID-2와 WorldSID 인체모형 평가에 관한 연구)

  • Kim, Dea Up;Woo, Chang Gi
    • Journal of Auto-vehicle Safety Association
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    • v.7 no.1
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    • pp.40-44
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    • 2015
  • In recent years, WorldSID dummy has been continuously developed and investigated to be a better represent biolfidelic ATD as well as a device for replacement of the current existing EuroSID-2. In Korea, the side impact accident is one of the major severe accidents in terms of numbers of accidents and fatality. Since 2003, 50kph 90degree side crash test has been initiated as a safety standard with EuroSID-1 at the first stage and also same time 55kph impact speed test has been conducted as a part of KNCAP program. Currently only EuroSID-2 is accepted as a regulatory tool for vehicle certification and KNCAP. In order to make use of WorldSID of KNCAP in the distant futuer the tests with WorldSID is conducted experimentally.

A Basic Study on the Analysis of Construction Accident Statistics Data (건설안전사고 통계데이터 분석에 관한 기초연구)

  • Park, Hwan-Pyo;Han, Jae-Goo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.11a
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    • pp.122-123
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    • 2018
  • Although the disaster rate of the industry as a whole is on a downward trend, the disaster rate of the construction industry is on an ongoing trend. Therefore, in this study, we analyzed safety accident statistical data of the construction site over the past three years. As a result of the analysis, the incidence of disasters at small construction sites was very high. And the proportion of disaster occurred for workers who worked in less than 6 months even roughly 92.6%. In addition, as a result of analyzing the form of disaster occurrence, the crash was 34.1% and the fall was 15.1%. The analysis results of these construction safety accidents are to provide as a basic material for developing a policy that can prevent safety accidents and a safety accident prediction model.

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A Study on the Rollover Behavior of SUV and Collision Velocity Prediction using PC-Crash Program (PC-Crash를 이용한 SUV의 전복사고 거동 및 충돌속도 예측에 관한 연구)

  • Choi, Yong-Soon;Baek, Se-Ryong;Jung, Jong-Kil;Cho, Jeong-Kwon;Yoon, Jun-Kyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.2
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    • pp.227-235
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    • 2018
  • Along with the recent increase in traffic volume of vehicles, accidents involving rollover of vehicles have been rapidly increased, resulting in an increase casualties. And to prevent this, various technologies such as vehicle crash test equipment and analysis program development have been advanced. In this study, the applied vehicle model is FORD EXPLORER model, and PC-Crash program for vehicle collision analysis is used to predict the rollover accident behavior of SUV and the collision velocity. Compared with the actual rollover behavior of SUV through the FMVSS No 208 regulations, the analysis results showed similar results, the characteristics of the collision velocity and roll angle showed a tendency that the error rate slightly increased after 1000 msec. Then, as a result of considering using the database of NHTSA, it is shown that the rollover accident occur most frequently in the range of the collision velocity of 15~77 km/h and the collision angle of $22{\sim}74^{\circ}$. And it is possible to estimate the vehicle speed and collision time when the vehicle roof is broken by reconstructing the vehicle starting position, the roof failure position and the stop position by applying the actual accident case.

Study on the Improvement of Traffic Accident Report for Automated Vehicle Test Scenarios (자율주행 안전성 검증 시나리오 개발 활용을 위한 교통사고보고서 개선방향에 관한 연구)

  • OH, Gyungtaek;KO, Woori;PARK, Jihyeok;YUN, Ilsoo;SO, Jaehyun (Jason)
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.2
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    • pp.167-182
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    • 2022
  • The accident data attributes of the traffic accident report are used not only in traditional traffic safety-related research to identify the cause of traffic accidents, but also as basis data for the development of the automated vehicle driving performance verification scenarios. However, since the data attributes of the traffic accident report are limited for the purpose of reconstructing the traffic situation and developing scenarios, this study aims to provide the directions for improvement of traffic accident report, ultimately for its expanded usability for the automated vehicle test scenarios. The directions for improvement of the traffic accident report are provided by categorizing the traffic situation before the accident (pre-crash), the situation immediately before or during the accident (on-crash), and the situation after the accident (post-crash), respectively. Additional data items or data processing methods are presented. Furthermore, data elements that can be extracted from the traffic accident process data in the unstructured narrative form are explored and provided.

Analysis of the Vulnerable Roadway Designs for Elderly Drivers and Its Improvement Schemes (고령운전자 사고취약 도로형태 분석 및 개선방안 연구)

  • Kim, Sang-Ock;Chang, Il-Joon;Lee, Choul-Ki
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.8 no.6
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    • pp.162-172
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    • 2009
  • Improvement of roadway environments to accommodate elderly drivers' declining driving capabilities are required. Currently, even the types of roadway designs vulnerable to elderly drivers have not been revealed in Korea. Thus, this study aims to analyze the types and vulnerabilities of the roadway designs that elderly drivers experience more accidents based on crash data of the Korean National Police Agency. This study has also reviewed foreign guidelines enhancing their safety on different roadway designs. Compared with normal drivers, elderly drivers tend to be more frequently involved in traffic accidents on intersections and vehicle-to-vehicle accidents on curved roadway segments. Assuming freeway interchanges are also risky sections, this study has also examined several methods to reduce elderly driver-related accidents on freeway ramp areas.

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A Study on Crash Causations for Railroad-Highway Crossings (철도건널목 사고요인 분석에 관한 연구)

  • O, Ju-Taek;Sin, Seong-Hun;Seong, Nak-Mun;Park, Dong-Ju;Choe, Eun-Su
    • Journal of Korean Society of Transportation
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    • v.23 no.1
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    • pp.33-44
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    • 2005
  • Railroad crossing crashes are fewer than road crashes, but with regard to crash severity, they can be serious injury crashes. There should be, therefore, enormous efforts to increase the safety of railroad crossings. The objective of this paper is to identify and understand factors associated with railroad crossing crashes. Statistical models are used to examine the relationships between crossing accidents and geometric elements of crossings. The results show the Poisson model is the most appropriate method for the crossing accidents, because overdispersion was not observed. This study identifies seven significant factors associated with railroad crossing crashes through the main and variant models. With regard to explanatory factors on crossing safety, the total traffic volume, daily train volume, presence of commercial area around crossings, distance of train detector from crossings, time duration between the activation of warning signals and gates, crossing types, and speed hump were found to affect the safety of railroad crossings.

Classifying Severity of Senior Driver Accidents In Capital Regions Based on Machine Learning Algorithms (머신러닝 기반의 수도권 지역 고령운전자 차대사람 사고심각도 분류 연구)

  • Kim, Seunghoon;Lym, Youngbin;Kim, Ki-Jung
    • Journal of Digital Convergence
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    • v.19 no.4
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    • pp.25-31
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    • 2021
  • Moving toward an aged society, traffic accidents involving elderly drivers have also attracted broader public attention. A rapid increase of senior involvement in crashes calls for developing appropriate crash-severity prediction models specific to senior drivers. In that regard, this study leverages machine learning (ML) algorithms so as to predict the severity of vehicle-pedestrian collisions induced by elderly drivers. Specifically, four ML algorithms (i.e., Logistic model, K-nearest Neighbor (KNN), Random Forest (RF), and Support Vector Machine (SVM)) have been developed and compared. Our results show that Logistic model and SVM have outperformed their rivals in terms of the overall prediction accuracy, while precision measure exhibits in favor of RF. We also clarify that driver education and technology development would be effective countermeasures against severity risks of senior driver-induced collisions. These allow us to support informed decision making for policymakers to enhance public safety.

The Estimation of Collision Speed at the Intersection using Simulation (시뮬레이션을 통한 교차로 충돌 속도 추정)

  • Han, Chang-Pyoung;Cheon, Jeong-Hwan;Choi, Hong Ju
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.2
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    • pp.514-521
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    • 2021
  • When calculating an intersection collision speed using a formula, it is very difficult to grasp the degree of deceleration of a vehicle after the collision unless there is road surface trace in the entire section where each vehicle moved from the point of collision to their final positions after the collision. A vehicle's motion trajectory shows an irregular curve after a collision due to the effects of inertia based on the driving characteristics of the vehicle, the eccentric force according to the collision site, and the collision speed. Therefore, it is very important to set the appropriate departure angle after a collision for accurate collision speed analysis. In this study, based on experimental collision data using a computer simulation (PC-Crash), the correlation between an appropriate vehicle departure angle and the post-collision speed was analyzed, and then, a regression analysis model was derived. Through this, we propose a method to calculate collision speed by applying only the vehicle departure angle in some types of collisions for traffic accidents at intersections.

Implementation of Smart Traffic Safety Systems using Fuzzy Theory

  • Han, Chang Pyoung;Hong, You Sik
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.71-82
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    • 2020
  • Traffic accidents due to excessive speed frequently occur in places where traffic signal controllers are installed, places where sharp curves exist, or places where the traffic signal cycle does not match the current time. These traffic accidents cause economic loss due to the destruction of road facilities and structures, and cause a big problem of increasing the number of traffic accident deaths. When a traffic accident occurs, leaving a tire mark before or after a car crash, pre-collision speed of the car is calculated using the law of conservation of momentum or the skid mark formula. In the skip skid mark generated in ABS brake vehicles and the combshaped yaw mark generated by tire trace caused by lateral sliding, there is a difference of 30-40% in the reliability of the vehicle speed calculated by the smite mark. In this paper, we propose an algorithm that can improve the calculation reliability in vehicle speed by using skid marks in order to compensate for this problem. In addition, we present an intelligent speed calculation algorithm for traffic safety and a computer simulation in order to prevent traffic accidents by estimating the speed of a vehicle, using Skid marks, Yaw marks, and ABS brake characteristics and fuzzy rules.

Experimental Study on Neck Injury in Low Speed Frontal and Rear-End Collisions

  • Kim, Gyu-Hyun;Lee, Ouk-Sub;Hwang, Si-Won
    • Journal of Mechanical Science and Technology
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    • v.14 no.11
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    • pp.1232-1243
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    • 2000
  • Motor vehicle accidents in rear impacts cause more than fifty percents of drivers to suffer from neck injuries. It is known that most neck injuries are associated with rear-end collisions at a speed lower than 32 km/h and between the Abbreviated Injury Scale (AIS) 1 and AIS 2. Two different types of low speed crash tests such as the frontal barrier and rear moving barrier crashes have been conducted by following the procedure of the Research Committee for Automobile Repairs (RCAR). The injury for the neck and the Head Injury Criteria (HIC) were measured by using the sensors mounted on dummies. We reviewed neck injures and the relationship between the neck and head injuries, and examined the deceleration of the body. Using the experimental test data at the neck, we investigated an improved neck injury criterion Nij. Also, the effects of the position of a head restraint on reducing the frequency and severity of the neck injury in rear-end collisions were investigated.

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