Understanding and predicting highway lane-change maneuvers is essential for driving
modeling and its automation. The development of data-based lane-changing decision …

Introduction: Driving in foggy weather conditions has been recognized as a major safety
concern for many years. Driver behavior and performance can be negatively affected by …

Objective Daily cannabis users develop tolerance to some drug effects, but the extent to
which this diminishes driving impairment is uncertain. This study compared the impact of …

Localization is a key capability for autonomous vehicles especially in urban scenarios. We
propose the use of pole-like landmarks as primary features in these environments, as they …

Background Although driving under the influence of cannabis is increasingly common
among young adults, little is known about residual effects on driver behavior. This study …

It is known that adverse weather conditions can affect driver performance due to reduction in
visibility and slippery surface conditions. Lane keeping is one of the main factors that might …

The presence of fog has a significant adverse impact on driving. Reduced visibility due to
fog obscures the driving environment and greatly affects driver behavior and performance …

Rationale With alcohol and cannabis remaining the most commonly detected drugs in
seriously and fatally injured drivers, there is a need to understand their combined effects on …

This paper presents a case study in which an autonomous vehicle must cooperate with a
supposedly manually driven one to carry out a cross-roads manœuvre without risk. The main …

This study investigated, by means of a dynamic driving simulator experiment, road users'
behavior inside the curves of rural two-lane highways related to different advance warning …