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Anthropometry Influence On The Real Ptw Accident Outcomes- A Numerical Study

BOŃKOWSKI, T., HYNČÍK, L., LYU, W. Anthropometry Influence On The Real Ptw Accident Outcomes- A Numerical Study. In The 2nd International Symposium on Future Mobility Safety Science and Technology. Plzeň: University of West Bohemia, 2019. s. NESTRÁNKOVÁNO. ISBN: 978-80-261-0870-2 , ISSN: neuvedeno
Jazyk publikace: eng
Anglický název: Anthropometry Influence On The Real Ptw Accident Outcomes- A Numerical Study
Rok vydání: 2019
Místo konání: Plzeň
Název zdroje: University of West Bohemia
Autoři: Ing. Tomasz Bońkowski , doc. Ing. Luděk Hynčík Ph.D. , Wenle Lyu
Abstrakt EN: Road traffic accidents cause one of the highest numbers of severe injuries. Almost 1.25 million people die each year because of road traffic crashes and between 20 and 50 million, more people suffer non- ‑fatal injuries, with many incurring a disability. Half of those dying on the roads are so-called vulnerable road users, namely pedestrians, cyclists and two-wheeler riders (PTW) including motorcyclists. Those vulnerable road users usually undergo complex kinematics and complex loading caused by the other vehicle impact. Virtual human body biomechanical models play an important role to assess the injuries during the impact loading especially for scenarios, where complex dynamical loading is taken into account. An additional benefit of some virtual human models is their scalability so that they can assess the injury risk for the particular subject taking into account the wide spectra of the whole population. The presented work shows the motorcycle rider injury risk analysis during the rear motorcycle accident to the car using the virtual approach by the numerical simulation taking into account the variability of the human body. Several virtual human body models based on the population variability are concerned. Each virtual human body model is scaled automatically by the scaling algorithm, coupled with personal protective equipment and sit on the motorcycle. The rear impact on a car is assessed by the numerical simulation. The sensitivity study is processed by evaluating the anthropometry dependent injury risk assessment for the rear impact scenario. The paper contributes to the field of vehicle safety technology by the virtual approach using scalable virtual biomechanical human body models as a tool for the accident reconstruction, the injury risk assessment, the personal protective equipment optimization, and the injury risk mitigation.
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