• Title/Summary/Keyword: Vehicle Accident

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A study on Pedestrian Accident Reconstruction Models: Comparison and Improvement (보행자-차량 충돌사고 재현모형 비교분석 및 개선 연구)

  • Jo, Jeong-Il;O, Cheol;Kim, Nam-Il;Jang, Myeong-Sun
    • Journal of Korean Society of Transportation
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    • v.25 no.4
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    • pp.69-77
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    • 2007
  • This study presents comparison results for pedestrian accident reconstruction models representing the relationship between collision speed and horizontal distance that a body travels while falling and sliding. A set of 49 reliable pedestrian accident cases are applied to compare the existing reconstruction models. In addition, the authors investigate the effects of a set of parameters associated with the effects of the frontal shape of a vehicle on the horizontal distance a pedestrian travels while falling and sliding. It has been revealed that the length of the bumper is the most dominant factor to affect the horizontal distance of pedestrian travel after collision. Further analyses utilizing more accident data need to conducted to develop a more accurate and reliable reconstruction model.

Traffic Accident Analysis using Fuzzy Rules (퍼지규칙을 이용한 교통사고분석)

  • Park, Kwang-Che;Bae, Cheol-Soo
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.8 no.1
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    • pp.23-27
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    • 2015
  • Nowdays, in order to reduce recent traffic accident the traffic accident research which uses IT techniques is plentifully advanced. But, when running away traffic accident occurs, the assault vehicle the searching is difficult very from site. Respected a traffic accident investigation scientification RFID techniques and type expense to use an ubiquitous theory constructs the traffic accident preventive system which is efficient the algorithm which proposed. Especially in this paper, It simulated that every hour changes road follows produces the optimum traffic safety speed which in situation and weather condition.

Acoustic Characteristic Analysis of the accident for Automatic Traffic Accident Detection at Intersection (교차로 교통사고 자동감지를 위한 사고음의 음향특성 분석)

  • Park, Mun-Soo;Kim, Jae-Yee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.6
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    • pp.1142-1148
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    • 2006
  • Actually, a present traffic accident detection system is subsisting limitation of accurate distinction under the crowded condition at intersection because the system depend upon mainly the image information at intersection and digital image processing techniques nearly all. To complement this insufficiency, this article aims to estimate the level of present technology and a realistic possibility by analyzing the acoustic characteristic of crash sound that we have to investigate fur improvement of traffic accident detection rate at intersection. The skid sound of traffic accident was showed the special pattern at 1[KHz])$\sim$3[KHz] bandwidth when vehicles are almost never operated in and around intersection. Also, the frequency bandwidth of vehicle crash sound was showed sound pressure difference over 30[dB] higher than when there is no occurrence of traffic accident below 500[Hz].

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A Study on Citizens' Consciousness of the Establishment of Experience-oriented (안전체험관 설립을 위한 시민의식 조사 연구)

  • Kim, Tae-Hwan
    • Korean Security Journal
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    • no.4
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    • pp.83-117
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    • 2001
  • This study aims at investigating basic safety consciousness as preprocessing of the establishment of experience-oriented safety education center in which citizens can have positive and active experience education, based on the data for which the investigators have investigated and analyzed such citizens' safety consciousness as awareness, consciousness and feedback of national safety accident, systematic prevention of safety accident and necessity of first-aid when safety accident happens, focused on citizens in Seoul and Gyeonggi-do where more than 1/3 of the national population live, for the purpose of establishing experience-oriented education center where citizens can be taught to prevent accidents wisely, picking up experiences of large or small accidents up to now. And the findings from the study support the followings : 1) Ordinary people think that danger factors have prevailed in our entire society, and fear that the danger may come to them directly.2) Ordinary people's consciousness of safety accident is low, that is because selfishness and 'take-it-easy' manner have prevailed in our entire society. 3) Ordinary people have the dread of safety accident individually, but they don't know how to deal with safety accident when it happened. 4) Although most people have taken lessons about safety accident, they still feel the need to have systematic education about safety accident. 5) Children and survey-respondents are highly concerned with prevention of safety accident, but there were few people who sent their children to 'safety accident prevention program by outside institute', still less they didn't participate in the above program. And especially they complained a lot about safety education conducted by school. 6) Most people truly felt the need that they should have experience-oriented safety education center to be able to see, hear and experience. The considerations (or suggestions) resulting from the above findings from the study will turn out that people will need such recreation facilities, rest and play space that the family can enjoy as space for the prevention of safety accident, appliance for field lesson and space for developed program, and in light of visitors' convenience, safer and more convenient vehicle service will have to be offered.

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Developing the Accident Injury Severity on a Field of Construction Work Using Ordered Probit Model (순서형 프로빗 모형을 적용한 공사장 교통 사고심각도 분석)

  • Hong, Ji-Yeon;Kim, Kyung-Tae;Lee, Soo-Beom
    • Journal of the Korean Society of Safety
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    • v.26 no.2
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    • pp.89-98
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    • 2011
  • The traffic accidents at a construction site, which happen due to construction vehicles' frequent access to a construction site, its subsequent conflicts with ordinary vehicles and pedestrians, and inappropriate installation & management of traffic security facilities, have not many proportions in all traffic accidents, but obviously, the accident damage is quite serious when comparing the level of the fatal per one accident. This research conducted an analysis of traffic accident injury severity using Ordered Probit Model in relation to 241 traffic accident cases that occurred caused by construction sites among the traffic accidents that took place in Seoul and Gyeoggi-do region for two years from 2006 until 2007. As a result, the significant variables enough to explain traffic accident injury severity were analyzed to be the state of road surface, linear shape of an accident spot & whether the damaging car belongs to the vehicle for construction, and whether vehicles have access to a construction site at the time of an accident. Through this, this research found out some fact as follows: first, there need to be more aggressive management of the vehicles for construction and a year-round placement of the manpower who can control vehicular access to a construction site. Second, it is necessary to get drivers to recognize the fact that there exists a construction site on the construction section which is on the border of curved roads in advance to prevent a traffic accident, helping to reduce socioeconomic loss & costs incurred by a traffic accident.

Measuring of Effectiveness of Tracking Based Accident Detection Algorithm Using Gaussian Mixture Model (가우시안 배경혼합모델을 이용한 Tracking기반 사고검지 알고리즘의 적용 및 평가)

  • Oh, Ju-Taek;Min, Jun-Young
    • International Journal of Highway Engineering
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    • v.14 no.3
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    • pp.77-85
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    • 2012
  • Most of Automatic Accident Detection Algorithm has a problem of detecting an accident as traffic congestion. Actually, center's managers deal with accidents depend on watching CCTV or accident report by drivers even though they run the Automatic Accident Detection system. It is because of the system's detecting errors such as detecting non-accidents as accidents, and it makes decreasing in the system's overall reliability. It means that Automatic Accident Detection Algorithm should not only have high detection probability but also have low false alarm probability, and it has to detect accurate accident spot. The study tries to verify and evaluate the effectiveness of using Gaussian Mixture Model and individual vehicle tracking to adapt Accident Detection Algorithm to Center Management System by measuring accident detection probability and false alarm probability's frequency in the real accident.

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.

An empirical study on the relationship of speed change and injuries subjected by rear-end collisions (후미추돌사고의 속도변화와 승차자 상해에 관한 실증적 분석)

  • Kang, Sung-Mo;Kim, Joo-Hwan
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.5
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    • pp.797-807
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    • 2009
  • In a case of an automobile rear-end collision, scale of the collision which are the extent of vehicle damage and the injury of the passenger is affected by the speed change. Based on the photographic interpretation of the actual accident cases in the Seoul and the Incheon area, this study measured the depth of crush and calculated the speed change from the statement data of the accident and speed, and also injury data such as diagnosis, hospitalization days are collected. The period of hospitalization and diagnostics claimed proves to have no statistical correlation with the depth of vehicle crush and speed change. Based on the statistical analysis from this study and previous foreign studies, we found that there have been 78.1% of personal accidents didn't reach the injury threshold. There should be objective information on the scale of accident accepting the claims-to-be-injured in the future, and application of injury threshold level suggested are considered to be very useful.

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Estimation of Acceleration Rates of Bus and Passenger car at Signalized Intersections (신호교차로에서 버스와 승용차의 발진가속도 측정)

  • Sim, Jae-Gwi;Lee, Sang-Su
    • Journal of Korean Society of Transportation
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    • v.27 no.6
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    • pp.69-77
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    • 2009
  • The maximum and mean acceleration rates of vehicles estimated from the stopping conditions at signalized intersections provided an important clue to analyze traffic accident investigation when there was a dispute about legal liability such as first entering vehicle at the intersection, etc. This paper provided the maximum and mean acceleration rates of vehicles reflecting current traffic conditions in Korea through field studies. The mean acceleration rates of vehicles at stopline were measured up to 50m at the intervals of 5m. Results showed that the mean acceleration rate for bus was found to be $1.011^m/s^2{\sim}1.314^m/s^2$(0.1g~0.13g), and for passenger car was $1.548^m/s^2{\sim}1.818^m/s^2$(0.16g~0.19g). Statistical test results indicated that the observed differences from vehicle types and vehicle positions were statistically significant for the all ranges tested. It is expected that the accuracy of accident investigation practice will be improved by applying the acceleration rate values presented in this paper.

A Study on the Analysis of Bus Machine Learning in Changwon City Using VIMS and DTG Data (VIMS와 DTG 데이터를 이용한 창원시 시내버스 머신러닝 분석 연구)

  • Park, Jiyang;Jeong, Jaehwan;Yoon, Jinsu;Kim, Sungchul;Kim, Jiyeon;Lee, Hosang;Ryu, Ikhui;Gwon, Yeongmun
    • Journal of Auto-vehicle Safety Association
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    • v.14 no.1
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    • pp.26-31
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    • 2022
  • Changwon City has the second highest accident rate with 79.6 according to the city bus accident rate. In fact, 250,000 people use the city bus a day in Changwon, The number of accidents is increasing gradually. In addition, a recent fire accident occurred in the engine room of a city bus (CNG) in Changwon, which has gradually expanded the public's anxiety. In the case of business vehicles, the government conducts inspections with a short inspection cycle for the purpose of periodic safety inspections, etc., but it is not in the monitoring stage. In the case of city buses, the operation records are monitored using Digital Tacho Graph (DTG). As such, driving records, methods, etc. are continuously monitored, but inspections are conducted every six months to ascertain the safety and performance of automobiles. It is difficult to identify real-time information on automobile safety. Therefore, in this study, individual automobile management solutions are presented through machine learning techniques of inspection results based on driving records or habits by linking DTG data and Vehicle Inspection Management System (VIMS) data for city buses in Changwon from 2019 to 2020.