… driving behavior. Further, we focus on how cost functions differ from each other in different
driving … Towards this goal, we first comprehensively review existing cost function structures in …

… of the proposed method in driving behavior modeling both qualitatively and … driver possesses
a distinct cost function and general modeling that all drivers share a common cost function, …

… behaviors automatically for traffic simulation. We define the multiagent human driving behavior
… However, if the true cost function does not belong to the cost function class, we cannot …

… driver model will be able to better interact with human traffic by emulating human driving
behavior. It also retains the autonomous vehicle’s potential to exceed human driver performance…

… Four categories of cost function were built for autonomous driver decision making. A …
adjust its cost function weights and configuration by learning from human drivers behaviors [6]. …

… modeling of the human driving behavior [20]–[22]. In [21], the driving behavior was successfully
analyzed … The cost function is defined as the square norm of the output error as follows: …

… In this work, they focus not on driver behavior analysis and profiling but rather on using
acceleration, microphone and GPS data to detect the road’s quality (eg, presence of potholes, …

… latent cost function is still undetermined. The cost function can be assumed to be a linear
combination of the explicit features of the actions, eg, fa ∈ Rd , by some latent cost weightsθ ∈ …

… The overall goal of this paper is to analyze and understand driver behavior using telematics.
In this section, we demonstrate the strength of our SAMME.C2 algorithm as a model for …

… tests a framework for driving behavior modeling that integrates … Drivers are assumed to
conceive and perform short-term plans in order to accomplish short-term goals. This behavioral …