Automatic detection of emergency Maneuvers, crashes, and strong jolts in naturalistic riding data from e-bicycles and e-scooters.
This study develops and validates a smartphone-based framework for automatically detecting emergency maneuvers, strong jolts, and crashes involving electric scooters and electric bicycles. Detection criteria were established through controlled track experiments and subsequently evaluated using data collected during a n...