… human driving based on the stochastic utility theoretical framework in the lane-change model,
which takes into account the uncertainties … of factors affecting the driver’s lane change and …

… to imitate driver’s natural or subjective uncertainty and ambiguity of … fuzzy logic approach
to formulate driver’s task difficulty in this paper, and we mainly focus on modeling the driving (car…

… Instead, a car driver understands and explains the … been based on analyzing human driving
data collected for numerous … Study subject drivers were queried about a possible uncertainty …

… , human cognition is proposed to be implemented in vehicles so that they can perform human-…
logic to a multi-agent system in order to address cognitive behavior to deal with uncertainty …

… Existing autonomous driving systems that lack awareness of uncertainty have been unable
to take over the control of the ego vehicle to the human driver even in the cases where the …

… S fuzzy model with additive norm-bounded uncertainties, and then an approach to the fuzzy
… according to the perceived environment without any human intervention. In general, the …

… reasoning and dealing with uncertainty. So, to move vehicle computers beyond monitoring
… deviations perceived by a human driver, we use two fuzzy variables: Lateral_Error and …

… driving operations in the domain of intelligent vehicles. In emergency situations, human drivers
are … of the given stereo uncertainty at one time step) that correspond to driver 1 at different …

… driver remains in final control of the vehicle, Advanced Driver … human observer to make an
educated guess about the driver’… fuzzy logic and uncertainty factors. Followers of the Bayesian …

… In the study, we understand the risk definition as follows: risk is uncertainty about and severity
of the consequence of dangerous situations or accidents at road networks due to HERVS …