Pre-crash Multi-vehicle Experimental Analysis Using a Networked Multiple Driving Simulator Facility
To evaluate human performance and resulting crash safety, the University Transportation Center (UTC) will develop a robust simulation facility in which multiple vehicles interact; some of these vehicles will be driven by people, some will be autonomous, and some will be autonomous to varying levels, with people in the driver's seat but disengaged to various levels from the actual driving of the vehicle. Although a single simulator can be used to create scenarios that involve other programmed autonomous, semi-autonomous, and non-autonomous vehicles, it provides only an approximation of the level of unpredictability and uncertainty encountered when multiple human drivers are operating in the same environment--as is the case in real-world driving. The ability to create a virtual driving environment simultaneously accessed by three or more human drivers allows a much closer approximation of reality, with its attendant risks. Therefore, a key enabling first step will be to develop a network of driving simulators that can interoperate to conduct multi-driver tests. The project will leverage three existing simulator facilities at Ohio State University (OSU), University of Wisconsin, Madison (UW), and University of Massachusetts (UMass), all of which are from the same vendor, Realtime Technologies, to design and execute common scenes and scenarios. In addition, the project will purchase desktop simulator units from Realtime Technologies for Indiana University-Purdue University in Indianapolis (IUPUI) and North Carolina A&T State University (NCA&T), so that all five institutions are able to contribute to the experiment designs and access experiment data. The initial selection of safety applications to be evaluated is based on results from the National Highway Traffic Safety Administration's (NHTSA's) Crash Imminent Test Scenarios and Safety Pilot Model Deployment. The safety applications will include Forward Collision Warning (FCW), Lane Change/Blind Spot Warning (LCW/BSW), Emergency Electric Brake Light Warning (EEBL), and Intersection Movement Assist (IMA). This project will enable testing of drivers with autonomous vehicle systems with an unprecedented capability in multi-driver and multi-vehicle interaction studies. In addition, this project will generate "standard" scenarios that can be shared with the transportation research and education community.
- Record URL:
Language
- English
Project
- Status: Active
- Funding: $380534.00
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Sponsor Organizations:
Research and Innovative Technology Administration
University Transportation Centers Program
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Performing Organizations:
Ohio State University, Columbus
410 West Tenth Avenue
Columbus, OH United States 43210 -
Principal Investigators:
Stredney, Donald
Redmill, Keith
Ozguner, Umit
Lee, John
Homaifar, Abdollah
Fisher, Donald
Weisenberger, Janet
- Start Date: 20130930
- Expected Completion Date: 0
- Actual Completion Date: 0
- Source Data: RiP Project 35917
Subject/Index Terms
- TRT Terms: Automobile drivers; Crash analysis; Driving simulators; Human factors in crashes; Traffic safety
- Identifier Terms: U.S. National Highway Traffic Safety Administration
- Uncontrolled Terms: Forward collision warning
- Subject Areas: Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01503186
- Record Type: Research project
- Source Agency: Crash Imminent Safety University Transportation Center
- Files: UTC, RIP
- Created Date: Jan 4 2014 1:00AM