Development of probabilistic pedestrian fatality model for characterizing pedestrian-vehicle collisions |
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Authors: | C Oh Y S Kang Y Youn A Konosu |
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Institution: | (1) Department of Transportation Systems Engineering Hanyang University, Gyeonggi, 426-791, Korea;(2) Center for Advanced Transportation Technology The Korea Transport Institute, 2311 Daewha-dong, Ilsan-gu, Goyang-si, Gyeonggi, 411-701, Korea;(3) Korea University of Technology and Education, Chungnam, 330-708, Korea;(4) Japan Automobile Research Institute, 2530 Karima Tsukuba, Ibaraki 305-0822, Japan |
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Abstract: | 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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Keywords: | Pedestrian-vehicle collision Traffic safety Pedestrian fatality model |
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