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Reconstruction Analysis of Pedestrian Collision Accidents Using Fuzzy Methods  

Park, Tae-Yeong (홍익대학교 기계정보공학과)
Han, In-Hwan (홍익대학교 기계정보공학과)
Publication Information
Journal of Korean Society of Transportation / v.29, no.1, 2011 , pp. 125-134 More about this Journal
Abstract
In order to reconstruct vehicle-pedestrian collision accidents, this paper presents a fuzzy tool to estimate accurately the impact velocity of the vehicle using parameters which could be easily collectable at the accident scene. The fuzzy rules and membership functions were set up using number of over 200 domestic and foreign data from accidents and empirical tests and 700 data from multibody simulation experiments. The developed fuzzy tool deduces the category of pedestrian trajectory and impact speed of the vehicle using 4 membership functions and 2 logic rules. The membership function of throw distance was differently set according to the deduced category of trajectories. The implemented fuzzy program was validated through comparing with the domestic and foreign empirical data. The output results agree very well in impact velocities of vehicle resulting the accuracy and usefulness of the developed tool in the reconstruction analysis of vehicle-pedestrian collision accidents.
Keywords
Vehicle-Pedestrian Impact; Accident Reconstruction; Fuzzy Logic; Pedestrian Throw Distance; Vehicle Speed;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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