In recent years, modeling and recognizing driver behavior have become crucial to
understanding intelligence transport systems, human‐vehicle systems, and intelligent …

Objective: This article provides a review of recent models of driver behavior in on-road
collision situations. Background: In efforts to improve traffic safety, computer simulation of …

Understanding the driver of an automobile has been attractive to researchers from many
different disciplines for more than half a century. On the basis of their acquirements, models …

This paper provides a survey of recent works on cognitive cars with a focus on driver-
oriented intelligent vehicle motion control. The main objective here is to clarify the goals and …

Autonomous intelligent vehicles pose unique challenges in robotics, that encompass issues
of environment perception and modeling, localization and map building, path planning and …

This paper introduces a dynamic model of the driver control strategy of lane-change
behavior and applies it to trajectory planning in driver-assistance systems. The proposed …

Due to the growing interest in automated driving, a deep understanding on the
characteristics of human driving behavior is critical for human-like autonomous vehicles …

This paper presents the development of the modeling and recognition of human driving
behavior based on a stochastic switched autoregressive exogenous (SS-ARX) model. First …

To decrease traffic accidents is a declared target of Intelligent Transportation Systems (ITS).
Among them, rear-end collisions are one of the most common and constitute one of the as …

Driver model adaptation (DMA) provides a way to model the target driver when sufficient
data are not available. Traditional DMA methods running at the model level are restricted by …