Purpose With the aid of naturalistic simulations, this paper aims to investigate human behavior during manual and autonomous driving modes in complex scenarios. Design/methodology/approach The simulation environment is established by integrating virtual reality interface with a micro-simulation model. In simulation, vehicle autonomy developed framework that integrates artificial neural networks...

Background Adequate access to health services has tremendous effects on the usefulness and efficiency of health care. Therefore, this study aimed to investigate the access of girls under the age of 14 years old to pharmacies in Kermanshah, Iran. Materials and Methods In this cross-sectional study, the access of Results In terms of access to 25 pharmacies through walking, the findings revealed ...

Learning driving behavior is fundamental for autonomous vehicles to “understand” traffic situations. This paper proposes a novel method for learning a behavioral model of carfollowing using automata learning algorithms. The model is interpretable for car-following behavior analysis. Frequent common state sequences are extracted from the model and clustered as driving patterns. The Next Generati...

We studied the prevalence and characteristics of self-reported driving difficulties and examined their association with traumatic brain injury (TBI) and/or posttraumatic stress disorder (PTSD) in Operation Iraqi Freedom/Operation Enduring Freedom (OIF/OEF) veterans who were seen at a Department of Veterans Affairs outpatient polytrauma clinic. In this study, we used a brief driving questionnair...

It is a well-established phenomenon that, notwithstanding their overall good crash record, older drivers have a higher than average rate of involvement in injury crashes when the rate is calculated by dividing crash numbers by distance driven. It has been hypothesised that at least some of this higher crash rate is an artefact of the different nature of driving undertaken by many older drivers....

Given by the ambitious GHG mitigation targets set governments worldwide, household is playing an increasingly important role for reaching listed reduction goals. Consequently, a deep understanding of its emission patterns and corresponding driving factors are great importance exploring untapped potential household. However, how to accurately capture features still demand further support from bo...

This study aims to explore the associations between near-crash events and road geometry trip features by investigating a naturalistic driving dataset corresponding roadway inventory using an association rule mining method.