This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …

With the rapid development of artificial intelligence (AI), autonomous vehicles (AVs)
represent a major revolutionary trend leading to a long-term transition in mobility. Despite …

To improve the safety, comfort, and efficiency of the intelligent transportation system,
particularly in complex traffic environments where autonomous vehicles (AVs) and human …

Connected and autonomous vehicles (CAVs) are developing rapidly nowadays. In the near
future, we may see human-driving vehicles (HVs) and CAVs running on the same road. The …

Autonomous driving systems (ADS) operate in an environment that is inherently complex. As
these systems may execute a task without the permission of a human agent, they raise major …

Purpose-This study aims to investigate the safety and liability of autonomous vehicles (AVs),
and identify the contributing factors quantitatively so as to provide potential insights on safety …

In this paper, we compare liability rules in a world where human-driven and fully-
autonomous cars coexist. We develop a model where a manufacturer can invest to improve …

We review the literature on the motivators of consumers' purchasing decisions regarding
autonomous vehicles (AVs), focusing on environmental awareness, vehicle types, concerns …

Lane changing is an important scenario in traffic environments, and accurate prediction of
lane‐changing behavior is essential to ensure traffic and driver safety. To achieve this goal …

This research introduces a novel approach to cooperative decision-making among self-
organizing connected and autonomous vehicles (CAVs). In this approach, a coalitional …