Evaluation of Eyes Off Road During L2 Activation on Uncontrolled Access Roadways (VTTI-00-031) [supporting dataset]

Project Description: The current study investigated eyes off-road (EOR) behavior of drivers when traveling on uncontrolled access roadways in vehicles equipped with SAE Level 2 (L2) automated features. Previously collected naturalistic driving data (NDD) were analyzed. 771 events were split between L2 features being active or available but inactive and matched across a spectrum of criteria (e.g., time of day). Primary analyses focused on L2 activation status (active or available but inactive and intersection type (no intersection, straight through intersection, and turning) and any interaction between those variables affecting EOR behavior for a given driver. EOR glances were operationalized in two ways: EOR 1) only forward was considered on-road EOR 2) all driving related glances were considered on-road. EOR metrics involved total EOR, mean EOR, single longest glance, and number of glances per event. Data Scope: 771 events are included in this dataset. 30-seconds of eyeglance data were reduced for each event. This dataset contains categorical and continuous variables that are based off of kinematic (i.e., speed) and video (e.g., eyeglance) data.

• Dataset URL:
  • https://doi.org/10.15787/VTT1/C9NX7E
• Dataset URL:
  • https://rosap.ntl.bts.gov/view/dot/73433
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/73314
• Supplemental Notes:
  • The dataset supports report: Evaluation of Eyes Off Road During L2 Activation on Uncontrolled Access Roadways, available at the URL above. This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Safety through Disruption University Transportation Center (Safe-D)

  Virginia Tech Transportation Institute
  Blacksburg, VA  United States  24060

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Klauer, Charlie
  • 0000-0002-4653-2753
  • Anderson, Gabrial
  • 0000-0002-0726-5066
• Publication Date: 2023-12-7

Language

• English

Media Info

• Media Type: Dataset
• Dataset: Version: 1.0 Integrity Hash: UNF:6:T+IfNTI3maAfEQn6C9ngHQ== [fileUNF]
• Dataset publisher:

  Dataverse

  ,    

Subject/Index Terms

• TRT Terms: Automatic data collection systems; Data; Distraction; Drivers; Eye movements; Level 2 driving automation; Video
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01910582
• Record Type: Publication
• Contract Numbers: 69A3551747115
• Files: UTC, NTL, TRIS, USDOT
• Created Date: Mar 1 2024 8:54AM