Over the past decades there has been a considerable development in the modeling of car-
following (CF) behavior as a result of research undertaken by both traffic engineers and …

Vehicle headway distribution models are widely used in traffic engineering fields, since they
reflect the fundamental uncertainty in drivers' car-following maneuvers and meanwhile …

Automated vehicles (AVs) are widely considered to play a crucial role in future transportation
systems because of their speculated capabilities in improving road safety, saving energy …

We generalize a wide class of time-continuous microscopic traffic models to include
essential aspects of driver behaviour not captured by these models. Specifically, we …

Objective: This paper explores the development of a rigorous computational model of driver
behavior in a cognitive architecture--a computational framework with underlying …

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 …

A large number of haptic driver support systems have been described in the scientific
literature. However, there is little consensus regarding the design, evaluation methods, and …

Driving is a multitasking activity that requires drivers to manage their attention among
various driving-and non-driving-related tasks. When one models drivers as continuous …

Accurately predicting and inferring a driver's decision to brake is critical for designing
warning systems and avoiding collisions. In this paper, we focus on predicting a driver's …

Human factors such as distraction, fatigue, alcohol and drug use are generally ignored in car-
following (CF) models. Such ignorance overestimates driver capability and leads to most CF …