Guiding Driver Responses During Manual Takeovers from Automated Vehicles
Until fully automated vehicles become a reality, drivers must take over vehicle control from driving automation systems, even with little or no advance warning, when the automation encounters its operational boundaries. Empirical studies have shown that such control transitions are challenging for human drivers who are engaged in non-driving related tasks and can lead to relatively long response times and inappropriate responses in the presence of conflicts that are not immediately visible within the driver’s field of view (McDonald et al., 2019). However, most human-machine interfaces (HMI) for takeover requests (TOR) direct the driver back to the vehicle control without providing further information about the dynamic driving situations which is critical for the driver’s situation awareness (SA) and response selection. This work aims to explore HMI approaches to improve driver SA and guide appropriate driver responses in challenging takeover situations. The basic idea is to provide the driver with a coherent and integrated situation representation as well as intervention assistance to help shape the driver’s initial responses. The proposed work will leverage the Virginia Tech Transportation Institute’s (VTTI) virtual reality driving platform that allows the research team to rapidly prototype various HMI options and examine human-subjects’ responses in various takeover scenarios. It is anticipated that the proposed work will identify the most appropriate HMIs to facilitate accurate driver SA and appropriate responses in challenging takeover scenarios. The human-subject experiment will also provide a better understanding of human-machine interaction in takeover situations. The findings would further benefit original equipment manufacturers (OEMs) by informing future design and evaluation of HMIs to enhance driver safety, trust, and acceptance of automated vehicles.
Language
- English
Project
- Status: Active
- Funding: $349380
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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:
Kim, Hyungil
- Start Date: 20190810
- Expected Completion Date: 20210501
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Awareness; Driver vehicle interfaces; Drivers; Human machine systems; Virtual reality
- Subject Areas: Data and Information Technology; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01714045
- Record Type: Research project
- Source Agency: Safety through Disruption University Transportation Center (Safe-D)
- Contract Numbers: 69A3551747115
- Files: UTC, RIP
- Created Date: Aug 19 2019 12:08PM