The process of verification and validation of automated vehicles poses a multi-faceted
challenge with far-reaching societal, economical and ethical consequences. In particular …

Data-based research approaches to generate crash scenarios have mainly relied on
conventional vehicle crashes and naturalistic driving data, and have not considered …

Automated vehicles (AVs) represent an opportunity to reduce crash frequency by eliminating
driver error, as safety studies reveal human error contributes to the majority of crashes. To …

The increasing accessibility of mobility datasets has enabled research in green mobility,
road safety, vehicular automation, and transportation planning and optimization. Many …

Automated vehicles are emerging on the transportation networks as manufacturers test their
automated driving system (ADS) capabilities in complex real-world environments in testing …

With safety being one of the primary motivations for developing automated vehicles (AVs),
extensive field and simulation tests are being carried out to ensure AVs can operate safely …

In recent years, the level of acceptance of autonomous vehicles (AVs) has changed with the
advent of new sensor technologies and the proportional increase in market perception of …

The research and development of autonomous vehicle (AV) technology have been gaining
ground globally. However, a few studies have performed an in‐depth exploration of the …

Autonomous vehicles (AVs) are emerging in the automobile industry with potential benefits
to reduce traffic congestion, improve mobility and accessibility, as well as safety. According …

The emerging technology of automated vehicles (AV) has been rapidly advancing and is
accompanied by various positive and negative potentials. The new technology is expected …