Advanced driver-assistance systems (ADAS) are becoming more widely available in the new vehicle landscape, increasing safety of both vehicle occupants and other road users. In some vehicles, both longitudinal and lateral positioning under certain conditions can be maintained, designating them as having Level 2 (L2) automation capabilities. By developing a standardized set of tests to be applied to current L2 automated vehicles, while keeping the future advancement of automation in mind, the vehicles’ system performance, feature limitations, and performance consistency can be systematically evaluated.
The project goal is to create an initial set of standardized tests to explore whether they enable the ongoing evaluation of automated driving features as they evolve over time. These tests will focus on situations that are representative of several daily driving scenarios as encountered by lower-level automated features, often called Advanced Driver Assistance Systems (ADAS), while looking forward to higher levels of automation as new systems are deployed.
Student Impact Statement (pdf): Two students were funded under this project (Alexis Basantis, a graduate student at VT, and Craig Fedor, and undergraduate student at VT). This file contains a statement of the impact this project made on these students’ education and workforce development.
Basantis, A., Doerzaph, Z., Harwood, L., Neurauter (2019). Developing a Standardized Performance Evaluation of Vehicles with Automated Driving Features. Presented at the FAST-Zero Conference, Blacksburg, Virginia. September 11, 2019.
Basantis, A., Doerzaph, Z., Harwood, L., & Neurauter, L. (2019). Developing a Standardized Performance Evaluation of Vehicles with Automated Driving Features. SAE International Journal of Connected and Automated Vehicles, 2(3), 1–16. doi: 10.4271/12-02-03-0011.
“Standardized Performance Evaluations of Automated Vehicles”. Basantis, A., Doerzaph, Z., Harwood, L., Neurauter, L. September 27, 2019. Submitted to: USDOT Safety Through Disruption National University Transportation Center.
The final datasets for this project are located in the Safe-D Collection on the VTTI Dataverse; DOI: 10.15787/VTT1/D946JJ.
Start Date: 2018-01-22
End Date: 2019-06-30
Grant Number: 69A3551747115
Total Funding: $47,098
Source Organization: Safe-D National UTC
Project Number: VTTI-00-020
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC 20590 United States
Virginia Polytechnic Institute and State University
Virginia Tech Transportation Institute
3500 Transportation Research Plaza
Blacksburg, Virginia 24061