Zachary Doerzaph, Ph.D.
- Dynamics and control
Dr. Zachary Doerzaph both directs the Center for Advanced Automotive Research at the Virginia Tech Transportation Institute (VTTI) and serves as Associate Professor in the department of Biomedical Engineering and Mechanics (BEAM).
Dr. Doerzaph coordinates a research team of faculty and students focused on measuring and improving the performance of next-generation transportation systems. Working alongside multi-disciplinary collaborators from academia, industry, and government, Dr. Doerzaph strives to improve safety through advanced design, development, and evaluation of connected vehicles, collision avoidance systems, automated driving systems, driver interfaces, big data analytics, driver behavior monitoring and evaluation.
Dr. Doerzaph is passionate about educating the transportation safety workforce. He believes transformative improvements in the human condition are only possible through combining traditional transportation engineering approaches with high-technology solutions derived from a variety of disciplines. Dr. Doerzaph is a thought-leader and visionary yet balanced with technical knowledge in system integration, training, and hands-on experience with vehicle design, data acquisition, and research methods.
- Virginia Tech: Ph.D. Industrial and Systems Engineering, Human Factors Option, 2007
- Virginia Tech: M.S., Industrial and Systems Engineering, Transportation Safety HF Option, 2004
- University of Idaho, BS, Mechanical Engineering, 2001
Awards, Honors, and Service
- Associate Editor: SAE International Journal of Connected and Automated Vehicles (2017-present)
- Member: Honorifics Committee, Biomedical and Engineering Mechanics Department (2017-present)
- Member: Executive Steering Committee, Connected and Automated Vehicles, VDOT (2016-present)
- Member: Board of Directors, Intelligent Transportation systems Virginia Chapter (2016-present)
- Chairman: SAE Crash Causation and Data Analysis Committee (2011-present)
- Member: International Standards Organization (ISO) TC204 Committee Member (2011-present)
- Recipient of Safety Certificate from the National Safety Council (2004)
- University Transportation Center Student of the Year Award (2001-2002)
- University of Idaho and Engineering Deans Lists, and Deans Scholarship (1997-2001)
Doerzaph, Z. R., Dingus, T. A., & Hankey, J. (2010). Improving Driver Safety through Naturalistic Data Collection and Analysis Methods. SAE International Journal of Passenger Cars, 3(2), 162-169.
Doerzaph, Z. (2017). Infrastructure Considerations for Connected and Automated Vehicles. Presented at the Transportation Research Board 93rd Annual Meeting Washington, DC.
Doerzaph, Z. (2015). Safety Pilot Integrated Vehicle Warning Research Overview. SAE 2015 Active Safety Systems Symposium. Troy, MI: Society of Automotive Engineers.
Doerzaph, Z. (2014). Consumer Attitudes Towards Advanced Automotive Safety. Advanced Automotive Safety 2014. Novi, MI: Telematics Update.
Harwood, L., Klauer, S., & Doerzaph, Z. (2014). Cell Phone Resting Locations; Use of the 100-Car Naturalistic Driving Study to Determine the Most Frequent In-Vehicle Cell Phone Placement and Containers. Transportation Research Record: Journal of the Transportation Research Board, 2434, 72-79.
Holmes, L. M., Harwood, L. C., Klauer, S. G., & Doerzaph, Z. R. (2014). Connected Vehicle Systems: Evaluation of Display Location and Application Type on Driving Performance. Transportation Research Record: Journal of the Transportation Research Board (2424), 39-47.
Song, M., McLaughlin, S., & Doerzaph, Z. (2017). An On-Road Evaluation of Connected Motorcycle Crash Warning Interface with Different Motorcycle Types. Transportation Research Part C, 74, 34-50.
Noble, A. M., Dingus, T. A., & Doerzaph, Z. R. (2016). Influence of In-Vehicle Adaptive Stop Display on Driving Behavior and Safety. IEEE Transactions on Intelligent Transportation Systems, PP(99), 1-10.
Owens, J., Antin, J., Doerzaph, Z., & Willis, S. (2015). Cross-generational acceptance of and interest in advanced vehicle technologies: A nationwide survey. Transportation Research Part F(35), 139-151.
Sarkar, A., Abbott, A. L., & Doerzaph, Z. (2015). Assessment of Psychophysiological Characteristics of Drivers Using Heart Rate from Naturalistic Face Video Data. Paper presented at the Mid-Atlantic Computer Vision (MACV) Workshop, Blacksburg, VA.
- (540) 231-1046
Virginia Tech Transportation Institute
3500 Transportation Research Plaza
Blacksburg, VA 24060