Allusion 2: External Communication for SAE L4 Vehicles
With the integration of SAE Level 4 or Highly Automated Vehicle’s (Level 4 Vehicle) into our environment, the development of external communication systems is underway by numerous stakeholders across the globe. Mixed fleets, comprised of both human drivers and automated vehicles, must be able to effectively communicate with each other. Most research on level 4 vehicle external communication has been conducted using simulator or virtual reality platforms to assess driver/road user knowledge, opinions, and attitudes via survey metrics evaluating a single level 4 vehicle. However, it is vital to understand how the external communication is perceived in real world conditions (e.g., bright sunny day, nighttime) and with multiple level 4 vehicles present. Additionally, it will be important to understand other road users’ decision making based upon these external communication devices. Thus, we are proposing to conduct research on the VTTI Smart Road Surface Street to assess pedestrian and driver decision making in the presence of level 4 vehicles with external communication displays.
- Record URL:
Language
- English
Project
- Status: Active
- Funding: $207744
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Contract Numbers:
69A3551747115
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Safety through Disruption University Transportation Center (Safe-D)
Virginia Tech Transportation Institute
Blacksburg, VA United States 24060 -
Project Managers:
Glenn, Eric
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Performing Organizations:
Virginia Tech Transportation Institute
3500 Transportation Research Plaza
Blacksburg, Virginia United States 24061 -
Principal Investigators:
Klauer, Charlie
- Start Date: 20211001
- Expected Completion Date: 20230531
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Communication; Decision making; Drivers; Human beings; Information display systems; Level 4 driving automation; Motor vehicles; Pedestrians; Vehicle mix
- Subject Areas: Data and Information Technology; Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01787238
- Record Type: Research project
- Source Agency: Safety through Disruption University Transportation Center (Safe-D)
- Contract Numbers: 69A3551747115
- Files: UTC, RIP
- Created Date: Nov 3 2021 9:54AM