Connected vehicle (CV) technology is expected to reduce crashes and improve roadway safety, though the specific effects will depend on crash scenarios. Differing crash scenarios may be associated with variations in a driver’s perception and interpretation, and lead to different driver behaviors and evasive strategies in response to hazards. Researchers at the University of Central Florida aimed to assess this variability in the performance of CV technology between different crash scenarios using a driving simulator experiment with two types of CV applications:
- Forward collision warning (FCW) which used the warning message “Keep Distance!”
- Pedestrian-to-vehicle (P2V) which provided a “Slow Down! Pedestrian Crossing!” message to the driver
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