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.

Language

  • English

Project

  • Status: Active
  • Funding: $380534.00
  • 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

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