Motorcyclists more likely to be involved in severe road crashes than cyclists or pedestrians

Publicly released:
Australia; QLD

Machine learning has been used to show that for Queensland road users, motorcyclists are the vulnerable road users most likely to experience severe crashes. The study used machine learning to classify and model the injury severity of different types of vulnerable road users: pedestrians, cyclists, and motorcyclists. They found that in almost all road crash feature conditions motorcyclist crash severity is far higher than for other types of vulnerable road users. The authors say these results can be used to help reduce crash severity for vulnerable road users.

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conference:
PLOS ONE
Research:Paper
Organisation/s: Queensland University of Technology (QUT)
Funder: The author(s) received no specific funding for this work.
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