7349361127

Applications:
Behavioral Science, Industrial Engineering
Methodologies:
Data Collection Design, Data Mining, Data Visualization, Human-Computer Interaction, Longitudinal Data Analysis, Machine Learning, Statistical Inference, Statistical Modeling, Statistics

Shan Bao

Associate Professor

University of Michigan-Dearborn


Affiliation(s):

Transportation Research Institute

My research interests are to improve safety associated with motor-vehicle transportation by addressing both active safety (increased crash avoidance) and passive safety (increased crash protection) issues through the development and application of a wide range of research methodologies. These methodologies are targeted at developing a better understanding and modeling of driver behavior, including physical and cognitive attributes, driver decision-making processes and human intention prediction. I am currently interested in applying data science to study the following topics:
*Driver state detection and prediction;

*Improve user intersection with automated vehicle technologies;

*Communication and interaction between vehicle and vulnerable road users

*Driving style classification

*Human factors issues associated with connected and automated vehicle technologies

Where do drivers look when they are not paying attention to the road