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
Link To Document :
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