Faculty Finder

Linda Ng Boyle

Professor
Industrial & Systems Engineering

Professor
Civil & Environmental Engineering

Chair, Industrial & System Engineering

Biography

Linda Ng Boyle joined the Department as an associate professor in the fall of 2009. Prior to this appointment, she was an associate professor at the University of Iowa and a senior researcher at the U.S. Department of Transportation–Volpe Center.

Education

  • Ph.D. in Civil and Environmental Engineering, University of Washington
  • M.S. in Industrial Engineering/Inter-Engineering, University of Washington
  • B.S. in Industrial Engineering from State University of New York at Buffalo

Research Statement

Dr. Boyle's research centers on driving behavior, crash countermeasures, crash and safety analysis, and statistical modeling. She is the recipient of an NSF Career Award. Her research work has also been funded by the US DOT, NIH, and the National Academies–TRB.

Dr. Boyle is an associate editor for the journal Accident Analysis and Prevention and serves on the Transportation Research Board committees on Simulation and Measurement of Vehicle and Operator Performance and Statistical Methodology in Transportation Research. She also co-organizes the International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design.

Dr. Boyle is the director of the Human Factors and Statistical Modeling Lab.

Select publications

  1. Miller, E., Boyle, L.N. (2015). Driver's Behavior in Road Tunnels: Association with Driver Stress and Performance. Transportation Research Record, 2518, 60-67.
  2. Neyens, D.M., Boyle, L.N., Schultheis, M. (2015). The effects of driver distractions for individuals with traumatic brain injuries. Human Factors, 57, 8, 1472-1488.
  3. Wu, Y., Boyle, L.N., McGehee, D., Roe, C., Ebu, K., Foley, J. (2015). Modeling types of pedal applications using a driving simulator. Human Factors, 57, 7, 1276-1288.
  4. Peng, Y., Boyle, L.N., (2015). Driver's adaptive glance behavior to in-vehicle information systems, Accident Analysis and Prevention, 85, 93-101.