| 1. |
- Chen, Jiguang, et al.
(författare)
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FEA of helmet-head injury protection based on motorcycle accident reconstruction
- 2013
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Ingår i: Proceedings - 2013 5th Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2013. - 9780769549323 ; , s. 570-573
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Konferensbidrag (refereegranskat)abstract
- Head impact usually causes fatalities of riders in motorcycle accidents. The use of helmet can protect head effectively and the study of head injury mechanism is useful in safety helmet design and head injury risk decrease. A real motorcycle-passenger car accident was reconstructed in order to simulate and analyze the motion, impact velocity, impact angle in the collision. In order to study the dynamic response of helmeted head during the accident impact processing, an effective helmet model was constructed and validated. Coupling with the finite element model of human head, the injury mechanism of head and relevant parameters of biomechanics were studied and the protection ability of helmet was analyzed. It was found that the presence of helmet reduces the probility of head injury.
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| 2. |
- Dai, Bing, et al.
(författare)
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A study on throw distance of electric bicycle and cyclist based on accident reconstruction
- 2013
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Ingår i: Proceedings - 2013 5th Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2013. - 9780769549323 ; , s. 135-138
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Konferensbidrag (refereegranskat)abstract
- This paper aims to determine the correlation of the throw distance of cyclist and electric bicycle in traffic accidents with throw vehicle impact speed. A total of 22 vehicle-electric bicycle accidents were sampled from IVAC database, China. The selected accidents were reconstructed by using PC-Crash and Madymo programs. The relationship between throw distance and vehicle impact velocity was analyzed by using logistic regression model The relationship curves were obtained based on the calculated parameters. With increasing of the vehicle impact velocity, an increase of throw distance was observed. When the vehicle impact velocity was above 30km/h, the throw distance of electric bicycle was larger than that of cyclist. By comparing of results from the PC-Crash and MADYMO simulations with observations from in-depth accident investigation, the feasibility of the reconstruction method and the validity of the numerical model were evaluated. This research could provide a basis for further study on the dynamic response and injury prevention of cyclist.
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| 3. |
- Huang, Sunan, et al.
(författare)
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An investigation on child occupant safety in passenger vehicles based on accident data from Changsha, China
- 2013
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Ingår i: Proceedings - 2013 5th Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2013. - 9780769549323 ; , s. 218-221
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Konferensbidrag (refereegranskat)abstract
- The objective of this study is to determine the traffic safety situation of child occupants in the urban areas of Changsha, China. For this purpose, accident data were collected from the local traffic police authority. The selected samples have been dated from January 1,2001 to December 31,2010, durich which 1, 629 traffic accidents involving children occurred in Changsha. A total of 331 child occupants up to 15 years of age were identified in these accidents. A statistical analysis was then conducted in terms of the accident type, accident scenario, child age, gender, injury region, and injury severity. The results indicate that the side impact is the most common accident scenario in the child occupant accidents, accounting for 45% of all the cases. The major type of the accidents is the double-vehicle crashes in which passenger vehicles account for 73.4%. No child restraint system (CRS) was identified in the selected accidents. The head and extremity injuries have a high frequency in the child injuries. With the implementation of safey regulations, common knowledge about the traffic safety for child occupants should be strengthen, and CRS will be required in cars to protect child occupants.
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| 4. |
- Li, Li, et al.
(författare)
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A study on motor-scooter accidents in China and Germany
- 2013
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Ingår i: Proceedings - 2013 5th Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2013. - 9780769549323 ; , s. 110-113
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Konferensbidrag (refereegranskat)abstract
- The vehicle traffic accidents have been widely studied not only in the motorized countries but also in the motorizing countries, while in-depth study on motor-scooter accidents has not been adequately investigated. In this research the motor-scooter accident data from IVAC in Changsha of China were collected from in depth accident investigation, at the same time the accidents samples from GIDAS in Hannover Medical University from 2004 to 2010 were also picked out to study the injury mechanism on motor-scooter riders. By utilizing the statistical analysis and accident reconstruction method, the injury location and injury severity of the scooter riders are investigated, furthermore the collision type, collision speed on scooter to car accidents, impact areas on helmets for scooter riders, injury risk as a function of car collision speed are investigated. The research results can provide foundation and reference for the establishment on injury protection measures for scooter riders.
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| 5. |
- Wang, Xuechao, et al.
(författare)
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A study on kinematics of electric-bicycle-rider in car collisions based on traffic accident data
- 2013
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Ingår i: Proceedings - 2013 5th Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2013. - 9780769549323 ; , s. 106-109
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Konferensbidrag (refereegranskat)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.
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