Optimizing rear-seat restraint system considering a diverse population using Madymo and modeFRONTIER

​In this webinar ESTECO, TASS International and Jingwen Hu from the ​University of Michigan, as guest speaker, present the successful integration of their technologies to optimize a rear-seat restraint system considering a diverse population.​​​

Together they will present a project where the rear seat restraint systems was optimized for 6 to 12 year-old children, adults and infants through sled tests and computational simulations leveraging the integration within MADYMO and modeFRONTIER.

Watch this webinar to learn more about:

  • The integrated use of MADYMO and the optimization platform modeFRONTIER​
  • How modeFRONTIER and Madymo helped the University of Michigan Transportation Research Institute biosciences group simultaneously improving the rear seat occupant protection for all age groups.

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