KAUSAL - A Virtual Tool Chain to Estimate the Impact of Automated Driving on Occupant Restraint Systems

Daniel Schmidt, Heiko Freienstein, Gian Antonio Daddetta, Thomas Lich, Andreas Georgi, Jan Dobberstein, Per Lewerenz, Abulkadir Öztürk, Claus Geisler, Konstantin Benz, Marcus Mai, Felix Ressi, Wolfgang Sinz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Automated driving will not only fundamentally change today’s traffic but also accident rates and crash situations. Within the project KAUSAL, a virtual tool chain is built that considers changes in future vehicle safety and allows for engineering of a comprehensive vehicle safety system. Two pillars carry KAUSAL: a traffic-accident simulation with automated vehicles to quantify future accidents and thereafter a state-of-the-art finite element simulation of the vehicle interior involving novel seating arrangements to measure the overall impact on occupant safety. Providing a complete tool chain from the appearance of a critical road situation to loads of car occupants for a given occupant restraint system offers a possibility to identify the optimal restraint system and strategy for future vehicles and the safety of car occupants will be maintained on today’s high level.
Original languageEnglish
Title of host publication8th International Conference ESAR
Number of pages10
Publication statusPublished - 20 Apr 2018

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