… Our driving style recognition model identifies the driving styles of the surrounding vehicles
based on their current and past states, and the objective function is designed as a cross-…

… 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 …

… 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 …

… driver’s driving style and proposed a free lane changing model based on machine learning.
The new model divided the sample data into three driving styles… traffic environment and driver…

… 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 …

… 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 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 …

… driving style based on a trained classification model. The results will be transferred to the
uncertainty … of the scenario influenced by uncertain factors such as different driving styles, we …

… Viewing human behavior as optimal adaptation to constraints in conditions of uncertainty,
we developed a model of multitasking in driving. The model presented in this paper addresses …

… An erroneous responding strategy due to the mixed environment could … the uncertainty of
human drivers in the process of lane-changing for autonomous vehicles in a mixed environment…