Trip Recorder Analysis (TRA)
Illustrative trip: a subject vehicle meets several scenarios, including a stop sign, an unprotected left turn, a merge, and a work zone (project work plan for NHTSA).Sponsor: National Highway Traffic Safety Administration (NHTSA) · Period: 2025 to present
Naturalistic trip recorders collect far more driving data than people can review by hand. This project develops methods to automate the analysis of trip recorder data so that it can support safety performance assessment of automated driving systems (ADS) and driver assistance (ADAS).
My contributions
- Lead development of an open-source scenario labeling and retrieval toolset for automatically identifying and retrieving driving scenarios from multi-system trip recorder datasets.
- Lead the work on data standardization and common data formats, so that recordings from different systems can be processed together.
- Lead the scenario clustering methods, and plan the tool for open-source distribution and adoption by third parties.
Efe Yarbasi is an Assistant Research Scientist in the Engineering Systems Group at the University of Michigan Transportation Research Institute (UMTRI). His research covers the safety of automated and driver-assistance systems and the electrification of transportation. He serves as principal investigator and co-principal investigator on projects sponsored by NHTSA, Toyota Motor North America, and the National Cooperative Highway Research Program. He co-leads the Low Altitude Airspace Working Group at M-Air.
He holds a PhD in Aerospace Engineering from Georgia Tech. There he worked in the Aerospace Systems Design Laboratory under Prof. Dimitri Mavris and developed methods to find and reduce the uncertainties that matter most in complex, multi-disciplinary designs. He is a member of AIAA and IEEE.
Students: I enjoy working with students. If you are interested in my research, please send me an email.