The state of practice of investigating traffic safety and operation is primarily based on
traditional data sources, such as spot sensors, loop detectors, and historical crash data …

Automated driving systems (ADSs) allow vehicles to engage in self-driving under specific
conditions. Along with the potential safety benefits, the increase in productivity through non …

Introduction: Naturalistic driving studies (NDS) have great potential to characterize the road
infrastructure factors influencing everyday driving. A systematic review was undertaken to …

The naturalistic driving study (NDS) data offers a rare opportunity for a first-hand view of
crashes and near-crashes (CNC) that occur around work zones. The objective of this study …

Non-driving-related tasks (NDRTs) have the potential to affect safety in a number of ways,
but the conditions under which drivers choose to engage in NDRTs has not been …

We investigated engagement in single vs. multiple types of secondary tasks in distraction-
affected, safety-critical events (SCEs), ie, crashes/near-crashes, and baselines reported in …

Severe arthritis can limit a driver's range of motion and increase their crash risk. The high
prevalence of arthritis among the US driver population, especially among senior drivers …

Monitoring the correctness of vehicles in modern traffic is very difficult, considering that the
condition of a vehicle is constantly changing due to driving and requires constant checking …

Distraction is detrimental to traffic safety. This thesis provides insights into distracted driving
behaviours through two research objectives explored on naturalistic driving data: 1) …

Trust has gained attention in the Human-Robot Interaction (HRI) field, as it is considered an
antecedent of people's reliance on machines. In general, people are likely to rely on and use …