Safety Impacts of Human-Automated Driving System (ADS) Team Driving Applications
No material or nonsubstantive change to a currently approved collection
No
Regular
Approved without change
03/21/2025
03/20/2025
In accordance with 5 CFR 1320, this information collection is approved
table that charts list comparision
Inventory as of this Action
Requested
Previously Approved
06/30/2027
06/30/2027
06/30/2027
1,480
0
1,480
1,526
0
1,526
0
0
0
FMCSA is requesting OMB approval for a new Information Collection, titled âSafety Impacts of Human-Automated Driving System (ADS) Team Driving Applications.â The ICR is a driving simulator study with a series of questionnaires and will quantify the safety implications of team driving applications between humans and ADS-equipped commercial motor vehicles (CMVs). The simulator study will consist of a 17-hour simulator study session completed at the Virginia Tech Transportation Institute (VTTI) with a simulated Level 4 (L4) ADS. L4 ADS-equipped CMVs are capable of all functions and controls necessary for driving without human monitoring in limited conditions, and the human driver will not be asked to take over control of the vehicle.
Data will be collected from CMV drivers using VTTIâs heavy vehicle driving simulator and a series of questionnaires. Driver participation in the study is voluntary; therefore, there is no obligation to answer any part of the questionnaires nor to continue to participate. In accordance with USDOTâs policy on research involving human subjects, this study was reviewed and approved by Virginia Techâs Institutional Review Board (IRB) prior to beginning data collection.
Data will be collected during one extended study session and will involve three phases: a pre-study data collection, simulator data collection, and a post-study data collection. The data will help quantify safety implications of the four human-ADS teaming use cases, including 1) the analysis of potential requests for relief from FMCSAâs HOS regulations under 49 C.F.R. part 381 and 2) safety benefits and disbenefits on human-ADS teaming.
Data collected will include quantitative and qualitative dependent variables, such as simulated driving performance, eye-glance patterns and duration, demographic characteristics, opinions and perceptions of situation awareness, risky driving, advanced technology, and effectiveness of driver training. The questionnaire data are needed to answer several research questions. Approximately 80 CMV drivers are expected to participate in this study.
US Code:
49 USC 31133
Name of Law: General powers of the Secretary of Transportation
US Code:
49 USC 31136
Name of Law: United States Government regulations
US Code:
49 USC 31108
Name of Law: Motor carrier research and technology program
US Code:
49 USC 504
Name of Law: Reports and records
On behalf of this Federal agency, I certify that the collection of information encompassed by this request complies with 5 CFR 1320.9 and the related provisions of 5 CFR 1320.8(b)(3).
The following is a summary of the topics, regarding the proposed collection of information, that the certification covers:
(i) Why the information is being collected;
(ii) Use of information;
(iii) Burden estimate;
(iv) Nature of response (voluntary, required for a benefit, or mandatory);
(v) Nature and extent of confidentiality; and
(vi) Need to display currently valid OMB control number;
If you are unable to certify compliance with any of these provisions, identify the item by leaving the box unchecked and explain the reason in the Supporting Statement.
Form Form No. 8 Questionnaire #5 – Post Study Experiences/Perceptions
Justification for Non-Substantive Change for Form for 2126-0083.docx
Attachment I - W9 3.29.24.pdf
Task 9 - Human-ADS Team Driving