Dr. Pei (Peggy) Wang is a Research Engineer at California PATH, and has worked as an Assistant Research Engineer at UC Berkeley since 2017. She received her Ph.D. in Human Factors and Ergonomics from Tsinghua University, and formerly worked at General Motors China R&D as an HMI researcher. She has been involved with research in cross-cultural studies of in-vehicle speech systems, data analytic studies for Apple Carplay usage, and driving styles studies for automated vehicles.
Since her role began, Dr. Wang has led the human-factors team in PATH while conducting research projects funded by Caltrans, SB-1, and industrial consortiums. Her Human Factors research includes applying psychological and physiological principles to the design of systems, tasks, and environments in order to establish their successful and safe use. The focus of her research is to determine which aspects of road or traffic management devices that should be modified to improve driver performance and reduce unsafe behaviors. It is integral to shaping the design of road infrastructure and traffic management systems (e.g., signs, signals) in order to mitigate the associated safety challenge areas.
Dr. Wang has also explored the interaction between highly automated vehicles and pedestrians. Her team developed a prototype AV communication system (in the form of a mounted LED panel on an AV) for pedestrians that assisted in gaining their trust and confidence in the system while interacting with the AV. She is currently working on evaluating driver compliance behaviors in addition to assessing drivers’ responses to eco-driving applications. Eco-driving applications are designed to change a person’s driving behavior by providing real-time, vehicle-specific information and advice such as to accelerate slowly and to reduce speed in order to optimize vehicle speed profile, reduce fuel consumption, and reduce emissions. Her research focuses on the effects on fuel savings, emission reduction, and the associated safety impacts by analyzing a simulated driving experiment involving a local roadway with signalized intersections and freeway stop-and-go traffic.
- Wang, P., Motamedi, S., Qi, S., Zhou, X., Zhang, T., & Chan, C.-Y. (2021). Pedestrian interaction with automated vehicles at uncontrolled intersections. Transportation Research Part F: Traffic Psychology and Behaviour, 77, 10–25. https://doi.org/10.1016/j.trf.2020.12.005
- Motamedi, S., Wang, P., Zhang, T., & Chan, C. Y. (2020). Acceptance of Full Driving Automation: Personally Owned and Shared-Use Concepts. Human Factors, 62(2), 288–309. https://doi.org/10.1177/0018720819870658
- Motamedi, S., Wang, P., Canas-Bajo, T., Qi, S., Whitney, D., & Chan, C.-Y. (2020). External interface of automated driving systems: communication and Interaction with pedestrians. Transportation Research Board 99th Annual Meeting.
- Wang, P., Zhang, T., & Chan, C.-Y. (2019). Evaluation of Messages on Information Display Board (IDB) Using Laboratory Experiment. Transportation Research Board 98th Annual Meeting.
- Wang P., Zhang T, & Chan C-Y. (2018) Evaluation of Messages on Information Display Board (IDB) Using Lab Testing. 98th TRB Annual Meeting, Washington, D.C., USA.
For a full list of all Peggy's publications, please check her google scholar website: https://scholar.google.com/citations?hl=en&user=3m8iyUkAAAAJ