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Automatic detection of emergency Maneuvers, crashes, and strong jolts in naturalistic riding data from e-bicycles and e-scooters
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DOI：10.1016/j.aap.2026.108698.png)
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Abstract
En 中文
• Smartphone sensors detected emergency maneuvers, crashes and strong jolts. • Thresholds were derived from track tests and naturalistic riding data. • Video review confirmed the relevance of most detected events. • Rotational dynamics improved real-world crash and fall detection. • E-scooters showed more hard braking and strong jolts than e-bikes.
Keywords:
Micromobility
Performance
Vehicle dynamics
Emergency maneuver
Track test
Naturalistic data
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