Pedestrians' road-crossing behavior can be influenced by eHMIs (external Human-Machine
Interfaces) on autonomous vehicles (AVs). In this research, we developed a novel eHMI …

Despite the promised benefits, the introduction of Automated Vehicles (AVs) on roads will be
confronted by many challenges, including public readiness to use those vehicles and share …

The distraction of road users is one of the leading causes of road crashes. In general,
distraction in road crashes is often associated with only driving, not walking, however …

In road traffic, mental overload often leads to a failure to notice new and distinctive stimuli.
Such phenomenon is known as 'inattentional blindness'. Safe and efficient interaction …

Future traffic will be composed of both human-driven vehicles (HDVs) and automated
vehicles (AVs). To accurately predict the performance of mixed traffic, an important aspect is …

One of the biggest challenges facing the human-centered design of fully automated vehicles
(FAVs) is their interaction with vulnerable road users. Measuring pedestrians' perceptions is …

Safety policies typically follow Lasswell's linear decision cycle paradigm: diagnostics,
prescription, application, monitoring, and appraisal. Contemporary policy research …

Hazard perception, as a dynamic indicator, intuitively characterizes drivers' ability to detect
potential hazard events in complex driving environments. However, current quantitative …

Pedestrian and Vehicle Detection (PVD) is important to auto-driving. However, existing deep-
network-based PVD methods suffer from a low inference speed due to large redundancy …

In the rapidly evolving realm of transportation technology, the dynamic relationship between
pedestrians and technological innovations has attained unprecedented importance. The …