An AI Safety Monitoring System for Electric Scooters Based on the Number of Riders and Road Types

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 22; p. 9181
• Main Authors: Jang, Woo-Jin, Kim, Dong-Hyun, Lim, Si-Hyung
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2023
• Subjects: accelerometer; Accelerometers; Accidents; Artificial intelligence; Cameras; conductive film; Data collection; Drunk driving; electric scooter; Electric vehicles; Helmets; Neural networks; Pedestrians; Roads & highways; Safety equipment; Scooters; Sensors; Surveillance; Traffic accidents & safety; Transportation planning; Walkways; South Korea

Electric scooters are quickly becoming a popular form of mobility in many cities around the world, which has led to a surge in safety incidents. Moreover, electric scooters are not equipped with safety devices for riders, which can lead to serious accidents. In this study, a footrest, data-collectio...