• 제목/요약/키워드: Vehicle safety accident

검색결과 470건 처리시간 0.022초

자동차 교통사고 시 에어백에 의한 안면부 손상특성 (Facial Injury after Airbag Deployment in Occupant Motor Vehicle Accident)

  • 이희영;이강현;이정훈;성실;강찬영;김호중;김상철;윤영한
    • 자동차안전학회지
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    • 제8권3호
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    • pp.10-15
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    • 2016
  • The purpose of this study is to evaluate the injury mechanism of facial injury related to an air-bag's deployment in occupant motor vehicle accident (MVA) by using Hospital Information System (HIS) and reconstruction program, based on the materials related to motor vehicle accidents. Among patients who visited the emergency department of Wonju Severance Christian Hospital due to motor vehicle accidents from August 2012 to February 2014, we collected data on patients with agreement for taking the damaged vehicle's photos. After obtaining the verbal consent from the patient, we asked about the cause of the accident, information on vehicle involved in the accident, and the location of car repair shop. The photos of the damaged vehicle were taken on the basis of front, rear, left side and right side. Damage to the vehicle was presented using the CDC code by analytical study of photo-images of the damaged vehicle, and a trauma score was used for medical examination of the severity of the patient's injury. Among the 309 patients with agreement for an investigation, thirty five (11.3 %) were the severe who had ISS over 15. And also, sixteen (5.2%) derived from the reconstructed data (maximum collision energy, maximum acceleration, delta V) by PC-Crash. As a result, ISS including the facial injuries was affected by the condition. It was high when the number of crash extent, the safety belt was not fastened, and the seating position of occupant and the direction of collision is same. For accurate analysis of the relationship between occupant injury and vehicle damage in MVAs, build-up of an in-depth database through carrying out various policies for motor vehicle accidents is necessary for sure.

환경미화원 산업재해방지를 위한 청소차량 안전시스템 개발에 대한 연구 (Development of Municipal Vehicle Safety System)

  • 이만수
    • 대한안전경영과학회지
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    • 제11권3호
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    • pp.57-61
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    • 2009
  • Garbage cause an environmental pollution, unsightly mess, fouls an odor, and unpleasant feeling. Various measures to solve the problems are studying. And the garbage are collected and treated by the street cleaner. Street cleaner is working for long time in the street from dawn to the night. And many kind of accidents are aroused, like traffic and crushing accident by garbage truck. This kind of accidents is increased every year. To prevent the accident, street cleaner wear a fluorescent light uniform But a count measures for the fallen accident and crushing accident from the garbage truck are insufficient. In addition, a street cleaner dose not like to wear a working uniform because of inconvenience. Therefore this study try to find a safety system of garbage truck for reducing measure of accidents of street cleaner.

한국형 자동차사고 심층조사 자료의 필요성 및 활용방안 (The Importance and Utilization Plan of Database Based on Actual Accident Investigation System in Korea)

  • 이희영;이강현;김오현;육현;안교진;공준석;강찬영;추연일;김호중;김상철
    • 자동차안전학회지
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    • 제11권3호
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    • pp.43-47
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    • 2019
  • Developed countries are operating an in-depth database in motor vehicle crashes nationwide. They do not rely solely on the police investigation reports that are responsible for motor vehicle crashes in each country but are developing into a useful database by expanding the categories of data through more indicators addition. In Korea, after implementing comprehensive measures to reduce traffic accident deaths in 2013, the medical centers participated in establishing the actual accident investigation system, which was called as the Korean In-Depth Accident Study (hereinafter KIDAS). This KIDAS database included more in-depth indicators as the types of accidents, types of vehicles, the injury severity, adequacy of safety devices, seating position of passengers. Although there are difficulties in establishing an actual accident investigation system including data collection due to various restrictions, if the system can cooperate with each other such as medical centers, insurance companies, police, fire and rescue services, towing companies, and car repair shops in the future, It would be expected to contribute to the development of safer vehicle, treatment system and traffic safety policy that lower the injury severity of occupant in the event of a motor vehicle crashes.

KIDAS 사고 통계에서 표준 연령 남녀의 상해 분석 및 해석연구 (Injuries Analysis and Interpretation of Standard Age and Sex in KIDAS Accident Statistics)

  • 박지양;윤영한
    • 자동차안전학회지
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    • 제11권1호
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    • pp.30-35
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    • 2019
  • KIDAS (Korean In-Depth Accident Study) is a data structure of accident investigation type, vehicle breakage and human injury database. A consortium of research institutes, universities, and medical institutions has been established and operated. KIDAS has the strongest difference from the TAAS (Traffic Accident Analysis System), which is the data of the National Police Agency, that it can grasp the injury information of passengers. In this study, the mean age and weight of the most frequent accident types in the KIDAS accident statistics were calculated to determine the degree of injury according to gender. Through the MADYMO analysis, it is aimed to grasp the difference of dummy injury using commercial dummy models and scaling models are currently used.

센서 범위를 고려한 자율주행자동차 교차로 충돌 상황 시뮬레이션 (Intersection Collision Situation Simulation of Automated Vehicle Considering Sensor Range)

  • 이장우;이명수;정재일
    • 자동차안전학회지
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    • 제13권4호
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    • pp.114-122
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    • 2021
  • In this paper, an automated vehicle intersection collision accident was analyzed through simulation. Recently, the more automated vehicles are distributed, the more accidents related to automated vehicles occur. Accidents may show different trends depending on the sensor characteristics of the automated vehicle and the performance of the accident prevention system. Based on NASS-CDS (National Automotive Sampling System-Crashworthiness Data System) and TAAS (Traffic Accident Analysis System), four scenarios are derived and simulations are performed. Automated vehicles are applied with a virtual system consisting of an autonomous emergency braking system and algorithms that predict the route and avoid collisions. The simulations are conducted by changing the sensor angle, vehicle speed, the range of the sensor and vehicle speed range. A range of variables considered vehicle collision were derived from the simulation.

도시철도차량의 안전기준 강화에 관한 연구 (A Study on the Safety Regulation Revision for Urban Transit Vehicles)

  • 이우동;신정렬;김길동;한석윤;박기준;홍재성;안태기;이호용;김종욱
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2003년도 추계학술대회 논문집(III)
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    • pp.322-326
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    • 2003
  • Dae-gu subway accident raise whole points in connection with safety facilities and operating of national urban transit system like rolling stocks, facilities, management of human. Rolling stock is made every effort for improvement of performance, guarantee of comfortableness, insurance of economical efficiency. But Security like safety of fire is not thoroughgoing enough. Especially, interior material has used although it is not prove its degree of safety. it is a main cause of Dae-gu subway accident. Safety regulation of urban transit vehicle that legislate for security in March 2000 does not applied manufacturing vehicles before in 2000. It has be prescribed in the regulations that incombustibles must be used. But detailed test standard related with incombustibles is not prescribe. Thus that regulation be required reinforcement of detailed test standard. Main cause of Dae-Gu subway accident is a fire in vehicle. However, many defects are found in infrastructure and operating vehicle of urban transit, such as inexperienced disposal of driver and CCC in early stage of the fire accident, unskilled opening and closing doors, insufficient escape facilities and safety facilities of a station house and tunnel, and incomplete communication system between vehicle and CTC, extraordinary step. Thus the aims of this study are prevention of urban transit accident, improvement plan of safety driving, and proposal of quick action plan through analysis of total faculty of vehicle.

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안전 옵션 선정 다준규의사결정 모델 (Application of Multi Criteria Decision Making for Selection of Automobile Safety Option)

  • 김태희
    • 자동차안전학회지
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    • 제10권2호
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    • pp.50-55
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    • 2018
  • Choosing automobile safety options is price-performance matter. The best fit options to buyer who has a certain driving habit are problem of MCDM (Multi Criteria Decision Making) because price of safety option, statistics of relating accident, consequence of accident, and driving habit are the multi criteria to be evaluated. In this paper, PROMETHEE-GAIA methodology is applied for solving this MCDM problem. The result shows that a different driving habit makes different choosing priority of safety options.

사고분석 사례를 통한 사고기록장치 개선방안에 대한 고찰 (Study on the Improvement of Event Data Recorders through Accident Analysis)

  • 박기옥;강희진;전준호;김희준
    • 자동차안전학회지
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    • 제13권4호
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    • pp.66-72
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    • 2021
  • This study was initiated to improve of the defect investigation method using event data recorders (EDR) and suggested a solution through the regulation and system analysis of EDR. The EDR data has been used for various purposes such as the vehicle defect investigation and the traffic accident investigation. However the EDR regulation has not been updated since the implementation in 2012. "Trigger Threshold" can be used to analyze a single accident such as the frontal crash, the side crash, and the rollover. In the case of a complex accident in which a rollover accident and a crash accident occur simultaneously, it is difficult to analyze a complex accident due to current "Trigger Threshold". This study proposed the method of separating the "Trigger Threshold" into a crash accident and a rollover accident so that accidents can be analyzed using the EDR data even when a complex accident occurs. In addition, it proposed the improvement method to quickly use the data of EDR in accident reconstruction software.

자율주행자동차 정면충돌평가방안 마련을 위한 국내 정면충돌사고 심층분석 연구 (An In-depth Analysis of Head-on Collision Accidents for Frontal Crash Tests of Automated Driving Vehicles)

  • 박요한;박원필;김승기
    • 자동차안전학회지
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    • 제15권4호
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    • pp.88-94
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    • 2023
  • The seating postures of passengers in the automated driving vehicle are possible in atypical forms such as rear-facing and lying down. It is necessary to improve devices such as airbags and seat belts to protect occupants from injury in accidents of the automated driving vehicle, and collision safety evaluation tests must be newly developed. The purpose of this study is to define representative types of head-on collision accidents to develop collision standards for autonomous vehicles that take into account changes in driving behavior and occupants' postures. 150 frontal collision cases remained by filtering (accident videos, images, AIS 2+, passenger car, etc…) and random sampling from approximately 320,000 accidents claimed by a major insurance company over the past 5 years. The most frequent accident type is a head-on collision between a vehicle going straight and a vehicle turning left from the opposite side, accounting for 54.7% of all accidents, and most of these accidents occur in permissive left turns. The next most common frontal collision is the center-lane violation by drowsy driving and careless driving, accounting for 21.3% of the total. For the two types above, data such as vehicle speed, contact point/area, and PDOF at the moment of impact are obtained through accident reconstruction using PC-Crash. As a result, two types of autonomous vehicle crash safety test scenarios are proposed: (1) a frontal oblique collision test based on the accident types between a straight vehicle and a left-turning vehicle, and (2) a small overlap collision test based on the head-on accidents of center-lane violation.

경적음의 도플러 효과를 이용한 교통사고분석 (Traffic Accident Analysis using Doppler Effect of the Horn)

  • 최영수;김종혁;윤용문;박종찬;박하선
    • 자동차안전학회지
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    • 제12권4호
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    • pp.70-77
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    • 2020
  • In this study, we estimate the vehicle speed by analyzing the acoustic data recorded in a single microphone of a surveillance camera. The frequency analysis of the acoustic data corrects the Doppler effect, which is a characteristic of the moving sound source, and reflects the geometric relationship according to the location of the sound source and the microphone on the two-dimensional plane. The acoustic data is selected from the horn sound that is mainly observed in an urgent situation among various sound sources that may occur in a traffic accident, and the characteristics of the monotone source are considered. We verified the reliability of the proposed method by time domain acoustic analysis and actual vehicle evaluation. This method is effective and can be used for traffic accident analysis in the blind spot of the camera using a single microphone built into the existing surveillance camera.