… This allows on the one hand to represent various individual driving styles in longitudinal
direction. Nonetheless, it is desirable to have an as good as possible motion model (either …

… caused by agent–agent interaction and driving styles of drivers. While prototype trajectories
… that considers driving style and vehicle dynamics to address these uncertainties. The …

… In this sense, the methods for processing driving styles must always be able to handle
these uncertain situations, with partial and ambiguous information. These aspects will be …

… uncertainties within driving features (data) and between driving stereotypes, and classifies
drivers according to the risk of their driving styles on a scale of 0 to 100, where 0 is a low risk …

… This allows on the one hand to represent various individual driving styles in longitudinal
direction. Nonetheless, it is desirable to have an as good as possible motion model (either …

… the environment and driving behaviors of the surrounding cars, then predict the driving style
… We will evaluate the probability of the specific driving style based on a trained classification …

… driving is to build up an agent that can drive safely and efficiently in uncertain traffic
environment,where the uncertainty is … Early approaches addressing the uncertainty in the …

… In general, to some extent, the aforementioned studies failed to comprehensively analyze
and fully decouple the influence of general or uncertain driving cycles on driving styles, which …

… driving in the uncertain environment. Obstacle trajectory prediction is a complex and challenging
problem, and many scholars have carried out the research. Compared with the existing …

… uncertainty that arises from the interaction with other traffic participants of varying driving
styles… domain: A behavior type corresponds to a human driving style, eg ”aggressive” or ”passive…