To understand the formation of lighting-related traffic bottlenecks along the long freeway
tunnels in the daytime, this study develops an intelligent driver model incorporating the …

Timely pavement crack detection can prevent further pavement deterioration. However,
obtaining sufficient quantities of crack information at low cost remains a challenge. This …

Infrastructure-enabled autonomous driving systems have been increasingly applied in
confined environments. Automated valet parking (AVP) in smart parking garages is one of …

Traffic crashes, heavy congestion, and discomfort often occur on rough pavements due to
human drivers' imperfect decision-making for vehicle control. Autonomous vehicles (AVs) …

This paper proposes risk-informed decision-making and control methods for autonomous
vehicles (AVs) under severe driving conditions, where many vehicle interactions occur on …

Parking scenarios are spatially dense and have a lot of interactions, making predicting
vehicles' search behavior crucial and challenging for autonomous driving. Existing data …

Millimeter-wave (MMW) radar is essential in roadside traffic perception scenarios and traffic
safety control. For traffic risk assessment and early warning systems, MMW radar provides …

The growing need for effective object detection models on mobile devices makes it essential
to design models that are both accurate and have fewer parameters. In this paper, we …

Traffic accidents caused by drivers' over-reliance on SAE L2 advanced driver assistance
systems (ADAS) have become a new type of accident worthy of attention. There is growing …

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