Formalizing Human-Machine Communication in the Context of Autonomous Vehicles
While driving behavior is generally governed by the nature and driving objectives of the driver, there are many situations (typically in crowded traffic conditions) where tacit communication between the drivers and pedestrians govern the overall driving behavior, significantly enhancing driving safety. The project will intend to study and formalize the communication pattern between human drivers and pedestrians, as also investigate effective communication mechanisms between an autonomous vehicle and humans. Current autonomous vehicles engage in decision making that is primarily driven by on-board or external sensory information, and do not explicitly consider communication with pedestrians. The project will incorporate the formalized communications from this study into decision making algorithms of an autonomous vehicle. Use of the results of this study would lead to improved safety of both autonomous vehicles as well as conventional vehicles.
Language
- English
Project
- Status: Active
- Funding: $326218
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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:
Harwood, Leslie
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Performing Organizations:
Texas A&M Transportation Institute
Texas A&M University System
3135 TAMU
College Station, TX United States 77843-3135Virginia Tech Transportation Institute
3500 Transportation Research Plaza
Blacksburg, Virginia United States 24061 -
Principal Investigators:
Gopalswamy, Swaminathan
- Start Date: 20170901
- Expected Completion Date: 20190531
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Automated highways; Autonomous vehicle guidance; Behavior; Communication systems; Drivers; Human machine systems; Intelligent vehicles; Pedestrian movement; Pedestrian safety
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01637956
- Record Type: Research project
- Source Agency: Safety through Disruption University Transportation Center (Safe-D)
- Contract Numbers: 69A3551747115
- Files: UTC, RIP
- Created Date: Jun 14 2017 2:58PM