Latent Hazard Notification for Highly Automated Driving: Expected Safety Benefits and Driver Behavioral Adaptation

Although latent hazard notification for highly automated driving is expected to enhance traffic safety, its practical effects have yet to be verified. This study systemically investigated the expected safety benefits and driver behavioral adaptation based on structural equation modeling. First, we d...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2023-10, Vol.24 (10), p.1-15
Hauptverfasser:	Li, Qingkun, Su, Yizi, Wang, Wenjun, Wang, Zhenyuan, He, Jibo, Li, Guofa, Zeng, Chao, Cheng, Bo
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation Adaptation models Analytical models Automated driving Automation behavioral adaptation Behavioral sciences Collision avoidance Hazard mitigation Hazards human-computer interaction latent hazard Mathematical models Multivariate statistical analysis Safety Structural equation modeling traffic safety Vehicles
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