A particular challenge for autonomous vehicle development is to become safer and more fuel-efficient as requirements of the vehicle increase. For instance, with the increasing level of road-traffic autonomy (SAE Level 5), the importance of occupant protection will increase. For instance, the undefined occupant positioning during a possible crash load results in uncertainty of the loads and injuries sustained by the occupant. Therefore, a more detailed understanding of them is required for the structural design of the vehicle. This is only possible via a detailed modelling of the human physiology (human models) throughout the crash phase. The first step of the work should develop an overview of the state of research in the field of human modelling. Subsequently, numerical human models (THUMS) will be analyzed for their capabilities and limitations in order to derive a suitable strategy for the integration of human modelling. Finally, an initial assessment of the “out-of-positioning” risks will be carried out via the implementation of the human models into the crash model of the Urban Modular Vehicle.
Content of the work:
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