Personalization in driving behavior research is crucial for developing intelligent vehicles that
can safely coexist with human-driven vehicles in mixed-traffic environments. By accounting …

This article briefly summarizes trust as a social and economic construct, and trust in AI as a
unique but related construct. It argues that because trust in AI is couched within an economic …

Ensuring traffic safety and mitigating accidents in modern driving is of paramount
importance, and computer vision technologies have the potential to significantly contribute to …

This paper handles the problem of controlling speed limits on freeways in a connected traffic
environment to reduce traffic congestion and improve both the operational and …

When changing from active driving to conditional automated driving (CAD), the question
arises whether users still prefer their own driving behavior while being a passenger. The aim …

Driving is a crucial aspect of personal independence, and accurate assessment of driving
skills is vital for ensuring road safety. This study aimed to identify reliable cognitive …

Consumption of fossil fuel-based energy for vehicle propulsion and associated emissions
are a global concern. One pathway to energy reduction is to examine situations where high …

Bicycles are frequently involved in traffic collisions with vehicles, particularly when sudden
changes in direction occur. This paper presents a robust risk-predictive braking policy to …

Driver monitoring systems (DMS) are crucial in autonomous driving systems (ADS) when
users are concerned about driver/vehicle safety. In DMS, the significant influencing factor of …

Large-area strain-monitoring is highly desired in various engineering applications. Despite
the fact that the commercial strain gauges have been successfully used for strain …