Various advanced driver assistance systems (ADAS) have been developed to improve
drivers' behavior and perceptual ability; however, whether these ADAS have any …

Traffic crashes tend to be more serious when commercial trucks are involved. And an
increasing number of commercial vehicles are equipped with advanced driver assistance …

This study aims to model traffic flow under weak lane based heterogonous (mixed) traffic
conditions. Unlike homogeneous traffic, when a follower (subject) vehicle in mixed traffic …

Whereas the development of ADAS seeks to improve driver's overall performance with a
particular focus on traffic safety improvement; with it comes the requirement and opportunity …

The data-driven methods show many advantages in learning and recognizing driver
behaviors and have been widely applied to build driver models. However, the data driven …

The paper presents a probabilistic approach for online parameter estimation of an enhanced
car-following model appropriate for multi-lane traffic, which is based on an extension of the …

Automated highway driving combining longitudinal vehicle control and lane decision
represents an important part on the way to autonomous driving. The general goal in this …

The paper presents a prediction framework applied to vehicle speed prediction in multi-lane
traffic. In general, the framework combines components of (heuristic) model knowledge …

In the field of advanced driver assistance systems (ADAS) the capability to accurately
estimate and predict the driving behavior of surrounding traffic participants has shown to …

The mission of the CoEXist project is to systematically increase the capacity of local
authorities and other urban mobility stakeholders to prepare for the transition towards a …