Automotive user interfaces constantly change due to increasing automation, novel features,
additional applications, and user demands. While in-vehicle interaction can utilize numerous …

The inclusion of in-vehicle sensors and increased intention and state recognition
capabilities enable implicit in-vehicle interaction. Starting from a systematic literature review …

Traffic accidents are likely to occur on sharp curves under poor driving conditions, and the
severity level of such accidents is high. Therefore, predicting the risk associated with driving …

To explore the effects of a longitudinal slope, a curve, and their combined action on the eye
movement characteristics and driving safety of drivers in extra-long underwater tunnel …

To be vigilant is highly required for traffic controllers in transportation fields, such as air traffic
management, vessel traffic service, and railway management, as they need to monitor traffic …

Autonomous driving will still use human–machine co-driving to handle complex situations
for a long term, which requires the driver to control the vehicle and avoid hazards by …

An automated driving system notifies a fallback-ready human driver to resume driving when
critical operational and functional limits have been or are about to be exceeded. The point …

Platoons of connected and automated Vehicles (CAVs) comprising both passenger cars and
trucks are expected to appear on highways in the coming years. Though prior studies …

This study aimed to explore the influence of the tunnel radius, turn direction, and zone
characteristics on drivers' visual performance. The study used a field experiment, in which …

This study aimed to investigate disparities in drivers' visual search behavior across various
typical traffic conditions on prairie highways and analyze driving safety at the visual search …