• Title/Summary/Keyword: Car-pedestrian accident

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Development of Accident Analysis Model in Car to Pedestrian Accident (차 대 보행자 충돌 시 사고해석 모델 개발)

  • Kang, D.M.;Ahn, S.M.
    • Journal of Power System Engineering
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    • v.13 no.5
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    • pp.76-81
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    • 2009
  • The fatalities of pedestrian account for about 21.2% of all fatalities at 2007 year in Korea. To reconstruct exactly the accident, it is important to calculate the throw distance of pedestrian in car to pedestrian accident. The frontal shape of SUV vehicle is dissimilar to passenger car and bus, so the trajectory and throw distance of pedestrian by SUV vehicle is not the same of passenger car and bus. The influencing on it can be classified into the factors of vehicle and pedestrian, and road factor. It was analyzed by PC-CRASH for simulation, and SPSS s/w was used for regression analysis. From the simulation results, the maximum impact energy of multi-body of pedestrian was occurred to that of torso body at the same time. And the throw distance increased with the increasing of impact velocity, and decreased with the increasing of impact offset. Also it decreased with the increasing of velocity of pedestrian at accident, and the throw distance of wet road was longer than that of dry road. Finally, the regression analysis model of SUV(Nissan Pathfinder type)vehicle in car to pedestrian accident was as follows; $$disti_i=-0.87-0.11offseti_i+0.69speed_i-4.27height_i+0.004walk_i+0.63wet_i+{\epsilon}_i$$.

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Upper Legform Impact Test of the EURO-NCAP Protocol using a Pedestrian Dummy Model (보행자 더미모델을 이용한 EURO-NCAP 상부다리모형 평가시험 방법에 대한 분석)

  • Park, Sang-ok;Choi, Wook-han;Son, Dae-Geun;Park, Gyung-Jin;Lee, EunDok;Kwon, Hae Boung
    • Journal of Auto-vehicle Safety Association
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    • v.9 no.4
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    • pp.14-19
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    • 2017
  • The mortality rate of car-pedestrian accidents is quite high compared to the frequency of accident. Recently, governments and insurance companies tend to establish and implement new safety standards for pedestrian protection such as EURO-NCAP and K-NCAP. The performance for the pedestrian protection has been gradually improved, but it is still insufficient. Therefore, various studies for the pedestrian protection are being carried out. The car-pedestrian accident is simulated in order to study to the upper legform test of the EURO-NCAP protocol. A pedestrian dummy model is employed and the results are discussed.

Development of Accident Analysis Model in Car to Pedestrian Accident (차 대 보행자 충돌시 사고해석 모델개발)

  • Kang, Dae-Min;Ahn, Seung-Mo;An, Jung-O
    • Transactions of the Korean Society of Automotive Engineers
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    • v.18 no.3
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    • pp.104-109
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    • 2010
  • The fatality of pedestrian accounts for about 21.2% of all fatality at 2007 year in Korea. In car to pedestrian accident it is very important to inspect the throw distance of pedestrian after collision for exact reconstructing of the accident. The variables that influence on the throw distance of pedestrian can be classified into the factors of vehicle and pedestrian, and road condition. It was simulated by PC-CRASH, a kinetic analysis program for a traffic accident in sedan type vehicle and SPSS program was used for regression analysis. From the results, the throw distance of pedestrian increased with the increasing of vehicle velocity, and decreased with the increasing of impact offset. Also it decreased with the increasing of velocity of pedestrian at accident, and throw distance at the road condition of wet was longer than that at dry condition. Finally, the regression model of sedan type vehicle on the throw distance of pedestrian was as follows; $$dist_i=2.39-0.11offset_i+0.59speed_i-545height_i-0.25walk_i+2.78wet_i+{\epsilon}_i$$.

A Study on the Classification of the Car Accidents Types based on the Negligence Standards of Auto Insurance (자동차보험 과실기준 기반 자동차사고유형 체계화에 관한 연구)

  • Park, Yohan;Park, Wonpil;Kim Seungki
    • Journal of Auto-vehicle Safety Association
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    • v.13 no.4
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    • pp.53-59
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    • 2021
  • According to the Korean Traffic Accident Analysis System (TAAS), more than 200,000 traffic accidents occur every year. Also, the statistics including auto insurance companies data show 1.3 million traffic accidents. In the case of TAAS, the types of traffic accidents are simply divided into four; frontal collision, side collision, rear collision, and rollover. However, more detailed information is needed to assess for advanced driver assist systems at intersections. For example, directional information is needed, such as whether the vehicle in the car accident way in a straight or a left turn, etc. This study intends to redefine the type of accident with the more clear driving direction and path by referring to the Negligence standards used in automobile insurance accidents. The standards largely divide five categories of car-to-car/motorcycle /pedestrian/cyclist, and highway, and the each category is classified into dozens of types by status of the traffic signal, conflict situations. In order to present more various accident types for auto insurance accidents, the standards are reclassified driving direction and path of vehicles from crash situations. In results, the car-to-car accidents are classified into 33 accident types, car-to-pedestrian accidents have 19 accident types, car-to-motorcycle accidents have 38 accident types, and car-to-cyclist accidents are derived into 26 types.

A Study on the Relationship between Impact Speed and Throw Distance of Pedestrian by the difference of the frontal shape of SUV vehicles (SUV 차량의 전면 구조 형상에 따른 충돌 속도와 보행자 전도 거리의 상관관계에 관한 연구)

  • Kang, Dae-Min;Ahn, Seung-Mo
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.6 no.3
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    • pp.105-111
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    • 2007
  • The type of pedestrian accident can be characterized by vehicular frontal shape and the height of pedestrian. The trajectory of pedestrian after collision by passenger car is different from that by bus due to vehicular frontal shape. The frontal shape of SUV vehicles is dissimilar to passenger car and bus. So, the trajectory and throw distance of pedestrian by SUV vehicles is not the same of passenger car and bus. In this paper, a series of pedestrian kinetic simulation were conducted to inspect the difference in throw distance between SUV vehicle and passenger car and bus by PC-CRASH that is the program for kinetic analysis of articulated body. From the results, if the height of pedestrian is taller than 1.70m, there is no difference in throw distance between SUV vehicle and passenger car, but if the height of pedestrian is about 1.55m throw distance of SUV vehicle is about 4m longer than that of passenger car at each impact speed. The throw distance of pedestrian by Bus is shorter than that of passenger car and SUV at each impact speed.

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Analytical Model in Pedestrian Accident by Van Type Vehicle (Van 형 차량의 보행자 충돌 사고 해석 모델)

  • Ahn, Seung-Mo;Kang, Dae-Min
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.7 no.4
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    • pp.115-120
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    • 2008
  • The fatalities of pedestrian accounted for about 40.0% of all fatalities in Korea (2005 year). In pedestrian involved accident, the most important data to inspect accident is throw distance of pedestrian. The throw distance of pedestrian can be influenced by many variables, such as vehicular frontal shape, vehicular impact speed, the offset of impact point, the height of pedestrian, and road condition. The trajectory of pedestrian after collision can be influenced by vehicular frontal shape classified into sedan type, box type, SUV type and van type. Many studies have been done about pedestrian accident with passenger car model and bus model for simple factors. But the study of pedestrian accident by van type vehicle was much insufficient, and even that the influence of multiple factors such as the offset of impact point was neglected. In this paper, a series of pedestrian kinetic simulation were conducted to inspect relationship between throw distance and multiple factors with using PC-CRASH s/w, a kinetic analysis program for a traffic accident for van type. By based on the simulation results, multi-variate regression was conducted, and regression equation was presented.

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A Study on the Safety for Pedestrians Waiting for Signal (보행신호를 대기하는 보행자의 안전에 관한 연구)

  • Kim, Hansol;Baek, Seryong;Choi, Yongsoon;Yoon, Junkyu;Lim, Jonghan
    • Journal of Auto-vehicle Safety Association
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    • v.13 no.3
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    • pp.41-46
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    • 2021
  • The number of big traffic accident cases of pedestrian death appeared to be minor, however compared to death rate in car to car accidents is very high and quite a few of the pedestrian death rates among all traffic accidents are counted to be almost 40%. Previous pedestrian safety studies were mostly aimed at reducing the degree of pedestrian injuries from a vehicle to pedestrian collision, and less at preventing a collision itself. This research was conducted with a method of using road facilities to prevent vehicles from rushing into the sidewalk. This research used one of the collision analyzing programs, called PC-Crash to simulate the vehicle rushing into the sidewalk. Based on the program, it could derive an optimal safe zone location where the pedestrian can wait for the pedestrian light safely. Also, changing road facilities such as pedestrian light pillars or signal controllers can widen 440% compared to the present safe zone. Accordingly, researchers have to consider a method to analyze and apply pedestrian safe zones along with road facilities location when designing a road.

Development of Severity Model for Elderly Pedestrian Accidents Considering Urban Facility Factor (도시 시설 특성을 반영한 고령 보행자의 사고 심각도 모형 개발)

  • Choi, Sung Taek;Lee, Hyang Sook;Choo, Sang Ho;Kim, Su Jae
    • Journal of the Korean Society of Safety
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    • v.30 no.1
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    • pp.94-103
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    • 2015
  • This study analyzes the influence factors on elderly pedestrian accident. Elderly people are easy to be badly injured by car accidents compared to younger people. Therefore, various plans and measures are required to protect elderly pedestrian from accidents. However, pedestrian accidents studies only focused on microscopic factors such as attribute of driver, pedestrian, road design. In order to prevent pedestrian accident and reduce the severity of the accident, not only microscopic factors but macroscopic variables such as urban planning and facility should be considered. In this regard, this study develops an ordered probit model introduced the characteristics of urban facility which were not considered in the previous studies. The result shows that there is higher level of accident severity in such areas as large commercial area, well-developed area with transportation infrastructure service and non-pedestrian safety zone. Thus, various and appropriate countermeasures should be prepared in order that pedestrian accident can be prevented in the areas mentioned above. In addition to the aforementioned variables, it is revealed that other variables including vehicle speed, gender and age of pedestrian, weather condition, type of vehicle, etc. partly affect the severity of pedestrian accident.

A study of Detection Device using Stereo Camera in the Railway Crossing (스테레오 카메라를 이용한 건널목 장애물 검지장치)

  • Cho, B.-K
    • Proceedings of the KSR Conference
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    • 2004.10a
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    • pp.1285-1290
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    • 2004
  • Crossing is the place which train, car and pedestrian adjoin, and the weak place. Also, crash accident between train and large size car is possible to be serious. So, various crossing obstacle detection device was developed, and it contribute to reduce the crossing accident.

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Development of Korean Pedestrian Accident Reconstruction Model (한국형 보행자 사고재현 모형 개발에 관한 연구)

  • Lee, Su-Beom;Lui, Tae-Sun
    • Journal of Korean Society of Transportation
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    • v.23 no.6 s.84
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    • pp.103-113
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    • 2005
  • A pedestrian accident is generally less fully understood than the 'typical' car-to-car collision. For this reason, the analysis of the pedestrian accident is, in many respects, more complicated and demanding. The purpose of this study is to identify clearly the impact point that is the main subject of struggle in pedestrian accidents. In order to develop the model, it is very significant to classify actual accident data including impact velocity. vehicle damage and injury scale of pedestrian. These data were collected from three local branches of RTSA(Road Traffic Safely Authority). The number of collected data were 34 cases and 61.7% of them were fatal accidents. In consequence of analyzing the data by statistical method, it revealed that there is correlation between impact velocity and throw distance. It, also shows that the impact velocity has strong linear correlation to vehicle damage and injury scale. Consequently, reconstruction analysis models of pedestrian accidents considering in local circumstances(such as the physical characteristics of pedestrians and vehicles) was developed However. it is difficult to apply the result of this study to all sorts of pedestrian accidents, because the actual accident data which were used to develop the model were limited. To overcome this limitation, it is necessary to develop an analysis model applicable to diverse circumstances with a wide range of pedestrian accident data on a national basis.