Injury Source and Correlation Analysis of Riders in Car-Electric Bicycle Accidents
The knowledge about the injury source and correlation of riders in car-electric bicycle accident will be helpful in the cross validation of traces and vehicle safety design. In order to know more information about such kind of knowledge, 57 true car-electric bicycle accidents were reconstructed by P...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Applied Bionics and Biomechanics |
| Online Access: | http://dx.doi.org/10.1155/2018/3674858 |
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| author | Tiefang Zou Liang Yi Ming Cai Lin Hu Yuelin Li |
| author_facet | Tiefang Zou Liang Yi Ming Cai Lin Hu Yuelin Li |
| author_sort | Tiefang Zou |
| collection | DOAJ |
| description | The knowledge about the injury source and correlation of riders in car-electric bicycle accident will be helpful in the cross validation of traces and vehicle safety design. In order to know more information about such kind of knowledge, 57 true car-electric bicycle accidents were reconstructed by PC-Crash and then data on injury information of riders were collected directly from the reconstructed cases. These collected data were validated by some existing research results firstly, and then 4 abnormal cases were deleted according to the statistical method. Finally, conclusions can be obtained according to the data obtained from the remaining 53 cases. Direct injuries of the head and right leg are from the road pavement upon low speed; the source laws of indirect head injuries are not obvious. Upon intermediate and high speed, the injuries of the above parts are from automobiles. Injuries of the left leg, femur, and right knee are from automobiles; left knee injuries are from automobiles, the road pavement and automobiles, respectively, upon low, intermediate, and high speed. The source laws of indirect torso injuries are not obvious upon intermediate and low speed, which are from automobiles upon high speed, while direct torso injuries are from the road pavement. And there is no high correlation between all parts of the injury of riders. The largest correlation coefficient was the head-left femur and left femur-right femur, which was 0.647, followed by the head-right femur (0.638) and head-torso which was 0.617. |
| format | Article |
| id | doaj-art-9a9a27c950044bb7b00ac8fe7b4b5fda |
| institution | Kabale University |
| issn | 1176-2322 1754-2103 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Bionics and Biomechanics |
| spelling | doaj-art-9a9a27c950044bb7b00ac8fe7b4b5fda2025-08-20T03:36:53ZengWileyApplied Bionics and Biomechanics1176-23221754-21032018-01-01201810.1155/2018/36748583674858Injury Source and Correlation Analysis of Riders in Car-Electric Bicycle AccidentsTiefang Zou0Liang Yi1Ming Cai2Lin Hu3Yuelin Li4School of Automobile and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410076, ChinaSchool of Automobile and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410076, ChinaSchool of Engineering, Sun Yat-sen University, Guangzhou, Guangdong 510275, ChinaSchool of Automobile and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410076, ChinaSchool of Automobile and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410076, ChinaThe knowledge about the injury source and correlation of riders in car-electric bicycle accident will be helpful in the cross validation of traces and vehicle safety design. In order to know more information about such kind of knowledge, 57 true car-electric bicycle accidents were reconstructed by PC-Crash and then data on injury information of riders were collected directly from the reconstructed cases. These collected data were validated by some existing research results firstly, and then 4 abnormal cases were deleted according to the statistical method. Finally, conclusions can be obtained according to the data obtained from the remaining 53 cases. Direct injuries of the head and right leg are from the road pavement upon low speed; the source laws of indirect head injuries are not obvious. Upon intermediate and high speed, the injuries of the above parts are from automobiles. Injuries of the left leg, femur, and right knee are from automobiles; left knee injuries are from automobiles, the road pavement and automobiles, respectively, upon low, intermediate, and high speed. The source laws of indirect torso injuries are not obvious upon intermediate and low speed, which are from automobiles upon high speed, while direct torso injuries are from the road pavement. And there is no high correlation between all parts of the injury of riders. The largest correlation coefficient was the head-left femur and left femur-right femur, which was 0.647, followed by the head-right femur (0.638) and head-torso which was 0.617.http://dx.doi.org/10.1155/2018/3674858 |
| spellingShingle | Tiefang Zou Liang Yi Ming Cai Lin Hu Yuelin Li Injury Source and Correlation Analysis of Riders in Car-Electric Bicycle Accidents Applied Bionics and Biomechanics |
| title | Injury Source and Correlation Analysis of Riders in Car-Electric Bicycle Accidents |
| title_full | Injury Source and Correlation Analysis of Riders in Car-Electric Bicycle Accidents |
| title_fullStr | Injury Source and Correlation Analysis of Riders in Car-Electric Bicycle Accidents |
| title_full_unstemmed | Injury Source and Correlation Analysis of Riders in Car-Electric Bicycle Accidents |
| title_short | Injury Source and Correlation Analysis of Riders in Car-Electric Bicycle Accidents |
| title_sort | injury source and correlation analysis of riders in car electric bicycle accidents |
| url | http://dx.doi.org/10.1155/2018/3674858 |
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