Simulation of Collisions Between Pedestrians and Vehicles Using Adult and Child Dummies

Stcherbatcheff, G.; Tarrière, C; Duclos, Philippe; Fayon, A.; Got, C.; Patel, Amitkumar

doi:10.4271/751167

Cited by 36 publications

(10 citation statements)

References 4 publications

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“…The pedestrian throw distances that are estimated using the above simulation deviate from standard throw distance calculations for motor vehicular impact [2,6,15,16]. This difference is clearly due to the significant difference in mass ratios between a car-pedestrian impact and a cyclistpedestrian impact.…”

Section: Comparison To Previous Calculationsmentioning

confidence: 95%

Estimating bicyclist into pedestrian collision speed

Short

Grzebieta

Arndt

2007

International Journal of Crashworthiness

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Reconstruction equations used to predict vehicle impact speed from throw and slide distances of a pedestrian struck by a car, truck or bus cannot be applied to bicycle-pedestrian impacts. A series of MADYMO computer simulations of head-on and angled cyclist-pedestrian impacts were carried out and compared to the wide range of equations currently available for reconstructing vehicle-pedestrian impacts. For a given throw distance, the bicycle impact speeds were much higher for the simulated cyclist-pedestrian impacts than obtained from the calculated impact speeds involving a car, heavier truck of bus. Empirical equations for crash reconstruction analyses to determine impact speed of a cyclist striking a pedestrian based on measured throw and slide distance are presented. The simulation results also confirm Graw and Konig's observations that the dominant injury mechanism resulting from such impacts is usually associated with a secondary post impact pedestrian head strike with the pavement.

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Section: Comparison To Previous Calculationsmentioning

confidence: 95%

Estimating bicyclist into pedestrian collision speed

Short

Grzebieta

Arndt

2007

International Journal of Crashworthiness

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“…Experts on traffic accident analysis from the National Institute of Scientific Investigation and Traffic Accident Investigation Center of Hanyang University in Korea were consulted to collect reliable data on pedestrian-vehicle collisions. Well-known pedestrian accident reconstruction models (Schmidt and Nagel, 1971;Stcherbatcheff et al, 1975;Collins and Moris, 1979) in the field of pedestrian accident analysis were employed to estimate the collision speed. The models represent the relationship between collision speed and the distance from the initial collision spot to the final location of the pedestrian.…”

Section: [Step 2] Development Of a Pedestrian Fatality Model Based Upmentioning

confidence: 99%

Assessing the safety benefits of an advanced vehicular technology for protecting pedestrians

Kang

Kim

2008

Accident Analysis & Prevention

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“…The objective of accident reconstruction in this study is to obtain collision speed. Contemporary pedestrian accident reconstruction models (Schmidt and Nagel, 1971;Stcherbatcheff et al, 1975;Collions and Moris, 1979) used in the analysis of pedestrian accidents are employed to estimate collision speed. The models relate the collision speed and the distance from the place of collision to the Therefore, we selected pedestrian accident data that contains skid mark information to estimate collision speed in the accident reconstruction models.…”

Section: Application and Evaluationmentioning

confidence: 99%

Development of probabilistic pedestrian fatality model for characterizing pedestrian-vehicle collisions

Kang

Youn

et al. 2008

Int.J Automot. Technol.

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Pedestrian-related accidents are considered to be the most serious of traffic accidents due to the associated high fatality rates. In Korea, pedestrian fatalities accounted for approximately 40% of all traffic-related fatalities in 2004. Significant efforts have been made to develop effective countermeasures for pedestrian-vehicle collisions. A basis for devising such countermeasures is to understand the characteristics of pedestrian-vehicle collisions. This study develops a pedestrian fatality model capable of predicting the probability of fatality in pedestrian-vehicle collisions. Binary logistic regression and a probabilistic neural network (PNN) are employed to estimate the probability of pedestrian fatality. Pedestrian age, vehicle type and collision speed are used as independent variables of the fatality model. The models developed herein are valuable tools that can be used to direct safety policies and technologies associated with pedestrian safety.

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Simulation of Collisions Between Pedestrians and Vehicles Using Adult and Child Dummies

Cited by 36 publications

References 4 publications

Estimating bicyclist into pedestrian collision speed

Estimating bicyclist into pedestrian collision speed

Assessing the safety benefits of an advanced vehicular technology for protecting pedestrians

Development of probabilistic pedestrian fatality model for characterizing pedestrian-vehicle collisions

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