DocumentCode
1884205
Title
A Study on Kinematics of Electric-Bicycle-Rider in Car Collisions Based on Traffic Accident Data
Author
Wang Xuechao ; Nie Jin ; Yang Jikang ; Zhou Xuenong ; Zhang Chao ; Yu Xiaoping ; Li Weiqiang
Author_Institution
State Key Lab. of Adv. Design & Manuf. for Vehicle Body, Hunan Univ., Changsha, China
fYear
2013
fDate
16-17 Jan. 2013
Firstpage
106
Lastpage
109
Abstract
The impact scenarios, impact velocity were investigated based on 224 car-electric bicycle collision cases in IVAC (In-depth Investigation of Car Accident in Changsha) database. Cars were classified into three types: sedan, SUV and one box. According to analysis of traffic accident data, car-electric bicycle collision models were built up by using MADYMO. In order to analyze the kinematics of electric-bicycle-riders, this paper conducted a series of numerical experiments by changing the types of cars. Results show that the most prominent impact modes were frontal impact (54%) and side impact (33%), rider\´s head tend to strike sedan at upper part of the windscreen", "SUV at the front end of bonnet, and one box at lower part of the windscreen, The peak values of head\´s and pelvis\´ acceleration were higher and occurred earlier when a SUV or one box impacted with electric bicycle.
Keywords
automobiles; automotive components; bicycles; electric vehicles; impact (mechanical); road safety; road traffic; vehicle dynamics; IVAC database; MADYM; SUV; bonnet; car-electric bicycle collision; electric bicycle-rider kinematics; frontal impact; impact modes; impact velocity; in-depth investigation of car accident in Changsha; numerical experiment; onebox; sedan; side impact; traffic accident data; windscreen; Automation; Mechatronics; Car-electric bicycle accidents; Electric-bicycle-rider´s kinematics; Traffic accident data;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-5652-7
Type
conf
DOI
10.1109/ICMTMA.2013.38
Filename
6493682
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