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Rider Stature Influence to Injury Risk in Motorcycle Rear Impact to Car

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43954735" target="_blank" >RIV/49777513:23520/19:43954735 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.4271/2019-01-1436" target="_blank" >https://doi.org/10.4271/2019-01-1436</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4271/2019-01-1436" target="_blank" >10.4271/2019-01-1436</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Rider Stature Influence to Injury Risk in Motorcycle Rear Impact to Car

  • Original language description

    Road traffic accidents cause one of the highest numbers of severe injuries. Approximately 1.25 million people die each year as a result of a road traffic crash and between 20 and 50 million more people suffer non-fatal injuries, with many incurring a disability. Nearly half of those dying on the roads are so-called vulnerable road users, namely pedestrians, cyclists and two-wheeler riders 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 impact loading especially for scenarios, where complex dynamical loading is taken into account. The additional benefit of the 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 a 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 generated automatically by the scaling algorithm, coupled to personal protective equipment and sit in the motorcycle. The rear impact to a car is assessed by the numerical simulation. The sensitivity study is processed by evaluating the anthropometry dependent injury risk assessment by the variation of the velocity and the use/non-use of the personal protective equipment. 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 accident reconstruction, personal protective equipment optimization and the injury risk mitigation.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20302 - Applied mechanics

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    SAE Technical Papers

  • ISSN

    0148-7191

  • e-ISSN

  • Volume of the periodical

    1

  • Issue of the periodical within the volume

    březen 2019

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    7

  • Pages from-to

    1-7

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85064676715