Driver braking behavior was analyzed using time-series recordings from naturalistic rear-
end conflicts (116 crashes and 241 near-crashes), including events with and without visual …

Abstract The Vehicle Active Safety Technology has attracted considerable attention in the
development of Vehicle Intelligent Technology. It not only performs a significant role in …

Objective This paper aims to describe and test novel computational driver models, predicting
drivers' brake reaction times (BRTs) to different levels of lead vehicle braking, during driving …

A number of driver models were fitted to a large data set of human truck driving, from a
simulated near-crash, low-friction scenario, yielding two main insights: steering to avoid a …

Introduction Under the connected vehicle environment, vehicles will be able to exchange
traffic information with roadway infrastructure and other vehicles. With such information …

In the last several years, the focus of traffic safety research—especially when performed in
association with the automotive industry—has shifted from preventing injury during a crash …

In this paper, a general and fundamental property of steering is demonstrated: It is shown
that steering corrections generally follow bell-shaped profiles of steering rate. The finding is …

Safety assessment of crash and conflict avoidance systems is important for both the
automotive industry and other stakeholders. One type of system that needs such an …

Reducing distracters detrimental to commercial truck driving is a critical component of
improving the safety performance of commercial drivers, and makes the highways safer for …

This thesis challenges the traditional view of treating steering behaviour as a tracking task,
instead treating it as a reaching task. Here, reaching refers to a fundamental human …