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Shan Bao

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Dr. Shan Bao is an Associate Research Scientist in the University of Michigan Transportation Research Institute’s Human Factors Group. She joined UMTRI after she received her PhD in mechanical and industrial engineering from the University of Iowa in 2009. Her 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.

Dr. Bao has led and conducted multiple, large, simulator and naturalistic-driving studies for industry and government sponsors. Her areas of expertise include the statistical analysis of crash datasets and naturalistic data, experimental design, algorithm development to identify driver states, evaluation of driving-safety technologies, measurement of driver performance, driver decision making, and statistical and stochastic modeling techniques. Dr. Bao currently serves as the chair of Surface Transportation Technical Group of the Human Factors and Ergonomics Society. 

Her current research projects’ topic include:

  • Automated driving, and testing

  • Driver distraction state detection and prediction

  • Training and education to improve user understanding of automated vehicle technologies

  • Communication and interaction between vehicle and vulnerable road users

  • Seat belt use behavior and the effectiveness of seat belt interlock systems

  • Driving style classification

  • Human factors issues associated with connected and automated vehicle technologies

For further details on Dr. Bao's research, please visit her lab site   And   Shan Bao - Google Scholar Citations