Driving Behavior (DB) is a complex concept describing how the driver operates the vehicle
in the context of the driving scene and surrounding environment. Recently, DB assessment …

Adaptive Cruise Control (ACC) is one of Advanced Driver Assistance Systems (ADAS) which
takes over vehicle longitudinal control under necessary driving scenarios. Vehicle in ACC …

Accurately predicting the trajectories of surrounding vehicles and assessing the collision
risks are essential to avoid side and rear-end collisions caused by cut-in. To improve the …

Microscopic modeling of driving behavior is the basis for traffic design and traffic simulation
studies and can be applied to automated driving systems to provide human-like decision …

UN Regulation 157, the first global regulation regarding the type-approval of Automated
Driving Systems (ADS), has been adopted in 2021. In it, safety performance requirements …

Threat assessment evaluates the situational criticality and helps guarantee the driving safety
of intelligent vehicles. Many critical metrics have been proposed for threat assessment, and …

The application of naturalistic driving data (NDD) has the potential to answer critical
research questions in the area of driving behavior assessment, as well as the impact of …

This paper presents a driver-specific risk recognition framework for autonomous vehicles
that can extract inter-vehicle interactions. This extraction is carried out for urban driving …

A common maneuver drivers perform and experience on the road is changing lanes.
Autonomous vehicles are required to engage a lane change safely and to react to the other …

In the cut-in scenario, drivers are forced to experience a smaller headway distance, which
may easily lead to rear-end crashes and reduced road traffic efficiency. Quantitatively …