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Are automatic systems the future of motorcycle safety? A novel methodology to prioritize potential safety solutions based on their projected effectiveness.

Gustavo GilGiovanni SavinoSimone PiantiniNiccolò BaldanziniRiender HappeeMarco Pierini
Published in: Traffic injury prevention (2017)
Current results revealed that automatic systems have the greatest potential to improve motorcycle safety. Accumulating and encoding expertise in crash analysis from a range of disciplines into a scalable and reusable analytical tool, as proposed with the use of KBMS, has the potential to guide research and development of effective safety systems. As the expert assessment of the crash scenarios is decoupled from the regional crash database, the expert assessment may be reutilized, thereby allowing rapid reanalysis when new crash data become available. In addition, the KBMS methodology has potential application to injury forecasting, driver/rider training strategies, and redesign of existing road infrastructure.
Keyphrases
  • climate change
  • human health
  • systematic review
  • machine learning
  • risk assessment
  • clinical practice
  • current status
  • sensitive detection
  • data analysis
  • adverse drug