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Simulation-based assessment of injury risk for an average male motorsport driver.

William B DeckerDerek A JonesKaran DevaneMatthew L DavisJohn P PatalakF Scott Gayzik
Published in: Traffic injury prevention (2020)
Beyond injury risk, the study is the first of its kind to provide mechanical loading values likely experienced during motorsports crash incidents with crash pulses developed from real-world data. Given the severity of the crash pulses, the simulated environments reinforce the need for the robust safety environment implemented by NASCAR.
Keyphrases
  • patient safety
  • big data
  • machine learning
  • quality improvement
  • clinical evaluation