• Title/Summary/Keyword: collision accident

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Simulation Analysis on Triple Collision between Wrecker, Towed Car and Driving Car (견인차-피견인차-주행차량의 3중 추돌에 관한 시뮬레이션 해석)

  • Cho, Jae-Ung;Kim, Eu-Gene;Kim, Key-Sun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.11
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    • pp.4100-4107
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    • 2010
  • The wrecker truck of lift type is used to move damaged car in accident spot or to move illegal vehicle in towaway zone toward pound.. This special vehicle drives by lifting front or rear side of car with the driving type of towed car. Each car is modelled with CATIA and is simulated with FEM analysis program ANSYS. This study analyzes how dangerous is the triple collision among the wrecker-towed car-driving car as comparing with the usual collision accident with cars. It is studied how responsible is the towed car in case of crashing its back side by driving car. The influence on the driving angle of towed car by lifting wrecker is also considered.

Development of Predictive Pedestrian Collision Warning Service Considering Pedestrian Characteristics (보행자 특성을 고려한 예측형 보행자 충돌 경고 서비스 개발)

  • Ka, Dongho;Lee, Donghoun;Yeo, Hwasoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.18 no.3
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    • pp.68-83
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    • 2019
  • The number of pedestrian traffic accident fatalities is three times the number of car accidents in South Korea. Serious accidents are caused especially at intersections when the vehicle turns to their right. Various pedestrian collision warning services have been developed, but they are insufficient to prevent dangerous pedestrians. In this study, P2CWS is developed to warn approaching vehicles based on the pedestrians' characteristics. In order to evaluate the performance of the service, actual pedestrian data were collected at the intersection of Daejeon, and comparative analysis was carried out according to pedestrian characteristics. As a result, the performance analysis showed a higher accordance when the characteristics of the pedestrian is considered. Accordingly, we can conclude that identifying pedestrian characteristics in predicting the pedestrian crossing is important.

Improvement of Navigation Lights of Middle and Small Size Ships for Marine Traffic Safety in Coastal Areas of Korea (연안 해상교통안전을 위한 중소형선 항해등 개선방안)

  • Song-Jin Na
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.7
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    • pp.1129-1139
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    • 2022
  • Collision accidents happen frequently. The majority of ships involved in collisions in the coastal areas of Korea are middle and small size ships. The proportion of collision accidents is only 9% of all types of marine accidents; however, the number of casualties resulting from collisions is 34.4% of all human life damages. Generally, as reported by the people involved in these collisions, the navigation lights of the opponent ships were poor and invisible when the accident happened even though the weather and visibility were good. Furthermore, there are many insistences for poor navigation light conditions of the opponent ship in the bay or harbor. Therefore, it is necessary to analyze the present conditions and safety of navigation lights. Therefore, in this study, we examined the rules and books of navigation lights and compared it to that of other transportation systems, such as aircraft, trains, and road vehicles. Furthermore, we analyzed the current marine traf ic circumstances and ship collision accidents that happened in the past 5 years. Additionally, a questionnaire was prepared to gather the opinion of ship experts and secure the objectivity for improvement methods of navigation lights. Finally, methods to improve the navigation lights on ships were devised.

Classification and Prediction of Highway Accident Characteristics Using Vehicle Black Box Data (블랙박스 영상 기반 고속도로 사고유형 분류 및 사고 심각도 예측 평가)

  • Junhan Cho;Sungjun Lee;Seongmin Park;Juneyoung Park
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.6
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    • pp.132-145
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    • 2022
  • This study was based on the black box images of traffic accidents on highways, cluster analysis and prediction model comparisons were carried out. As analysis data, vehicle driving behavior and road surface conditions that can grasp road and traffic conditions just before the accident were used as explanatory variables. Considering that traffic accident data is affected by many factors, cluster analysis reflecting data heterogeneity is used. Each cluster classified by cluster analysis was divided based on the ratio of the severity level of the accident, and then an accident prediction evaluation was performed. As a result of applying the Logit model, the accident prediction model showed excellent predictive ability when classifying groups by cluster analysis and predicting them rather than analyzing the entire data. It is judged that it is more effective to predict accidents by reflecting the characteristics of accidents by group and the severity of accidents. In addition, it was found that a collision accident during stopping such as a secondary accident and a side collision accident during lane change act as important driving behavior variables.

Accident prevention and damage reduction technology development through intelligence of Highway-railroad grade crossing (철도건널목 사고방지를 위한 지능화 방안 연구)

  • Cho, B.K.;Ryu, S.H.;Hwang, H.C.;Cho, H.S.;Lee, H.Y.
    • Proceedings of the KIEE Conference
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    • 2008.04c
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    • pp.175-177
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    • 2008
  • The level crossing collision accident which comprises more than 90 percent of all level crossing accidents is one of the most serious safety problems. There is a critical need for providing safe strategy and is focusing on the level crossing information rather than measures at a grade crossing. This study is intended to develop technology for accident prevention and damage reduction based on accident cases analysis result and improvement direction to complement shortcomings of safety equipment of conventional level crossing and to establish safety of travelers(train, motor vehicle, person).

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A Real-world Accident Study on Vehicle Damage Types and Occupant Injury (자동차사고 손상유형과 상해에 관한 실사고 연구)

  • Hong, Seungjun;Park, Wonpil;Ha, Sungyong
    • Transactions of the Korean Society of Automotive Engineers
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    • v.21 no.1
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    • pp.107-112
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    • 2013
  • Base on insurance vehicle collision and bodily injury claim reports, 23,655 cases of vehicle to vehicle accidents occurred in Korea 2010 are investigated in order to understand vehicle damage severities, repair costs and occupant injury types. The results of our statistical analysis reveal that minor damages with small dent or scratches on vehicle body panels which is assumed to imply during very low speed crashes are major portion of accident severities types. The most vulnerable body regions due to the real-world accident are neck. The 86.3% of total injured driver in minor rear damaged vehicles has reported neck pains and they are followed by whole bodies and head but with much lower occurrence rates.

A Study on Design and Dynamic Characteristics of Tearing Tubes Applied in Tram (트램용 테어링 튜브 에너지흡수부재 설계와 동적 특성 연구)

  • Choi, Jiwon;Kwon, Taesoo;Jung, Hyunseung;Kim, Jinsung;Kwak, Jaeho
    • Transactions of the Korean Society of Automotive Engineers
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    • v.23 no.5
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    • pp.524-536
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    • 2015
  • The paper aims to design and verify tearing tube type energy absorption device applied in tram to ensure safety in case of collision accident. Energy capacity of tearing tube is determinated based on EN15227 and Standard Collision Scenarios Criterion in Detail in Republic of Korea. Tearing tube is designed based on theoretical model suggested by X.Huang et al. and assumption by T.Y. Reddy et al. Real scale collision tests are conducted to analyze the energy absorption characteristics and deformation mode. Bending of curl tips is absorbed collision energy when curl tips and tube body are contacted to each other from the tests and we suggest and include the formula on bending of curl tips in theoretical model.

Building of a Simulator for Analyzing Ship's Collision Accidents (선박 충돌사고 분석을 위한 시뮬레이터 구축)

  • Park, Gyei-Kark
    • Journal of Navigation and Port Research
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    • v.26 no.3
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    • pp.275-280
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    • 2002
  • Vessel collision accidents have been investigated by means of questioning the persons involved and plotting manually the stated situation. But the repetitive plotting by hand can cause the investigator or to make some errors, and it can be connected to a wrong judgement. In this paper, we proposed a simulator for reconstructing and analyzing vessel collision accidents at sea, where the given situation is plotted automatically on it. We verified the validity of the system by applying it to some collision accidents.

Vehicle Recognition of ADAS Vehicle in Collision Situation with Multiple Vehicles in Single Lane (한 차선 내 복수 차량이 존재하는 추돌 상황에서의 ADAS 차량의 차량 인식에 관한 연구)

  • Lee, Seohang;Park, Sanghyeop;Choi, Inseong;Jeong, Jayil
    • Journal of Auto-vehicle Safety Association
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    • v.11 no.2
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    • pp.44-52
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    • 2019
  • In this study a safety evaluation method is presented for a ADAS vehicle to be tested in collision situation when multiple vehicles are present on a single lane. Test scenarios are developed based on Euro-NCAP assessment scenarios, accident database and related simulation results in previous works. An automated evaluation system that is called as the K-target mover is used for active safety evaluation experiments. The experiments are conducted with two types of tests. First, the rear-end collision tests with 25% and 50% overlap for the test vehicle and target vehicle are conducted with the two kinds of test vehicles. On the other hand, the rear-end collision tests which include multiple vehicles in a single lane with 25% and 50% overlaps, are also conducted. Experimental results show that the test vehicles with ADAS cannot recognize the collision situation sometimes in the developed test scenarios, even in the case that the test vehicle showed stable performance in the simple overlap scenarios.

A Study on Types of Municipal Sanitation Workers' Occupational Accident by Work Type (환경미화원의 작업별 산업재해 발생형태에 관한 연구)

  • Choi, Eun-Sook;Sohn, Shin-Young;Yi, Kwan-Hyung
    • Korean Journal of Occupational Health Nursing
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    • v.20 no.2
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    • pp.172-184
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    • 2011
  • Purpose: The aim of this study is to identify the characteristics of occupational accidents by work type among municipal sanitation workers. Methods: The original data of occupational accidents in 2009 by Korea Occupational Safety & Health Agency were analyzed by frequency and percentage using the SAS Version 9.1. Results: The types of occupational accident were as follows: slips and trips, falls, musculoskeletal disorders, traffic accident, collision, amputation, cut & puncture, crush injuries, strenuous movement and drop/fly. Slips and trips occurred most frequently in domestic waste collection and street sweeping. The traffic accident showed the highest incidence in food waste collection. Falls occurred most frequently in recycling waste collection. Musculoskeletal disorders showed the highest incidence in large waste collection. Conclusion: Depending on the work type, types of occupational accident were different. The results of this study can provide the information for the development of the occupational accident prevention programs of municipal sanitation workers.