Autonomous vehicles (AVs) have emerged as a promising technology for enhancing road
safety and mobility. However, designing AVs involves various critical aspects, such as …

Ride comfort plays an important role in determining the public acceptance of autonomous
vehicles (AVs). Many factors, such as road profile, driving speed, and suspension system …

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

This study presents a methodology for optimal control of connected automated vehicles
(CAVs) in freeway segments with a lane drop. Lane drops can create bottlenecks with a …

This paper presents a cooperative traffic control strategy to increase the capacity of
nonrecurrent bottlenecks such as work zones by making full use of the spatial resources …

Connected and automated vehicle (CAV) technology is widely recognized as a promising
way to improve traffic safety, fuel efficiency and network throughput. However, at the early …

This study aims to quantify the impact of discretionary lane-changing (DLC) on following
vehicles (FVs) in the target lane using real-world dataset. The Waymo Open Dataset is used …

Lane changes require dynamic decision-making and rapid behavior planning, which are
challenging for traffic modeling. We propose a two-dimensional following lane-changing …

As an emerging technology, virtual coupling improves the efficiency and flexibility of metro
services by forming multiple trains (units) as a virtually coupled train set (VCTS) without …

Since emergency vehicles (EMVs) in urban transit systems play a crucial role in responding
to time-critical events, the quick response of EMVs is essential for improving the success rate …