Driver behavior is receiving increasing attention because of the staggering number of road
accidents. Many road safety reports regard human behavior as the most important factor in …

Road accidents and vehicular emissions are two significant issues related to road
transportation, affecting both human life and the environment. Prior research suggests that …

Car-following (CF) is the most basic human driving behavior, which is the vital component of
traffic flow theories, traffic simulation, and traffic operation. Over the past decades, numerous …

Extreme value theory (EVT) has been extensively used to assess road safety with traffic
conflicts. However, most studies used pooled models that do not account for vehicle …

Model-based and learning-based methods are two main approaches modeling car-following
behaviors. To combine advantages from both types of models, this study introduces a novel …

Most traffic conflict indicators are defined for car-following scenarios where a follower
vehicle interacts with a leader vehicle in one-dimensional space. However, vehicles do …

Intra-driver heterogeneity is defined as transition of driver's behavior between usual and
unusual, which is an intrinsic feature of drivers while yet to be extensively explored. This …

Existing studies on the heterogeneity in traffic flow have considered either conventional car–
truck or conventional vehicle–automated vehicle combinations. Nevertheless, these …

Autonomous vehicles are cyber-physical systems that combine embedded computing and
deep learning with physical systems to perceive the world, predict future states, and safely …

Model-based and learning-based methods are two major types of methodologies to model
car following behaviors. Model-based methods describe the car-following behaviors with …