Gainesville, FL 32611
Heejin Jeong, Ph.D.
Postdoctoral Research Assistant
Human Factors Group, University of Michigan Transportation Research Institute
Abstract: Engineering Intelligent Transportation Systems with the Human in Mind
Approximately 1.35 million people die and more than 20 million are injured every year as a result of motor vehicle crashes. It is widely known that the majority of motor vehicle crashes are tied to driver errors and distractions. Over the years, intelligent transportation systems including vehicle automation and advanced driver assistance technologies have been developed to mitigate human errors and distractions. The role of human factors engineering is critical in the promotion of road traffic safety because it helps to understand how drivers adapt to and use the systems and analyze/predict driver behaviors and performance. This seminar introduces two transportation human factors studies: (1) driver distraction in in-vehicle manual and speech interactions; and (2) young drivers’ visual scanning behaviors in automated vehicles. In the first study, computational human performance modeling was used to design and evaluate multimodal in-vehicle systems. In the second study, a high-fidelity driving simulator was used to examine young drivers’ monitoring and lookout behaviors during automated driving. Several other ongoing projects and future research directions are also discussed.
Department of Industrial and Systems Engineering at the University of Florida