Data-driven intelligent technologies are promoting a disruptive digital transformation of
human society. Industrial accident prevention is also amid this change. Although many …

Introduction: Automated vehicle (AV) technology is a promising technology for improving the
efficiency of traffic operations and reducing emissions. This technology has the potential to …

Introduction: Identifying factors contributing to the risk of older pedestrian fatal/severe
injuries, along with their possible interdependency, is the first step towards improving safety …

Automated vehicle (AV) technology is expected to make roads safer. However, until recently
only a handful of studies could test such hypotheses due to limited access to testing data …

Recognizing the potential transformative impact on transportation systems, safety
perceptions of Shared Automated Vehicles (SAVs) have gained significant attention from …

In the planning stage of emerging mobility options, residents' stated preferences are
important to understand the acceptability, co-existence, demand estimation, and utilization …

Although the research into causal effects has always been the core part of safety science,
the formal mathematical method to infer causal effects is quite new. With the rapid …

In developing countries like China, non-signalised crosswalks represent a considerable risk
to pedestrian safety. This study introduces a “yielding dilemma zone” model to tackle the …

Abstract This study applied Logistic Regression (LR) on observational survey data to
evaluate the factors associated with pedestrians' utilization of pushbuttons at signalized …

Sensors are key components of autonomous vehicles (AVs) as they are used to detect other
objects to avoid collisions. Thus, sensor damages should be avoided for AVs to operate …