We aim to improve the future of transportation and advance the convergence of artificial intelligence, simulation, traffic engineering, and vehicle technology in the context of mixed human-autonomous traffic.
We are seeking safe drivers to participate in a research experiment. The research goal is to assess the impact of adaptive cruise control (ACC)-equipped vehicles to smooth traffic, thereby increasing fuel economy of all cars locally. A series of experiments will be run that involve multiple vehicles running custom ACC. The experiments will take place in the mornings on I-24 between Sam Ridley Parkway and Haywood Lane, and will consist only of standard driving maneuvers while using the custom ACC.
Availability
Other Information
The data collected during the test includes vehicle data (e.g., position, speed, acceleration, radar measurements); publicly available video data from Tennessee Department of Transportation-owned traffic cameras and drones; and dash cameras installed in the vehicles. We do not collect personally identifiable information (PII) about the drivers as part of the research data.
Procedures used to determine eligibility follow the guidelines set out by Vanderbilt University Risk and Insurance Management driving eligibility procedures. All persons willing to volunteer must be over 18 years old and have a government-issued driver's license. Drivers may additionally be required to take a Vanderbilt Driver Orientation course, consent to an Motor Vehicle Report background check, and meet any additional requirements set forth. All participants will be expected to attend a safety and experimental test briefing prior to the start of testing. Participants may be removed from the driving research at any time by the PIs, but will be compensated for their efforts to that point.
This research is being conducted by Prof. Dan Work in Civil Engineering and Prof. Jonathan Sprinkle of Computer Science, at Vanderbilt University and the Institute for Software Integrated Systems. The research is in collaboration with researchers from UC Berkeley, Rutgers University, and Temple University, and is supported by the US Department of Energy and the National Science Foundation.