Agency Information Collection Activities; New Information Collection: Human Factors Considerations in Commercial Motor Vehicle Automated Driving Systems, 57750-57752 [2022-20405]
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khammond on DSKJM1Z7X2PROD with NOTICES
57750
Federal Register / Vol. 87, No. 182 / Wednesday, September 21, 2022 / Notices
for SDLAs. The Training Provider
Registry requirement for selfcertification of compliance with ELDT
and state licensing requirements adds to
this challenge and will require SDLAs to
allocate additional resources to ensure
third-party training provider selfcertifications are accurate and meet all
requirements.
To address these information gaps,
FMCSA is conducting a project titled
‘‘Effectiveness of Third-Party Testing
and Minimum Standards for the CDL
Knowledge and Skills Test’’, which will
assess the effectiveness of the ELDT
program, assess third-party training
provider performance, and verify/
validate compliance with ELDT
minimum standards. This project is
intended to address the following
research questions:
1. Is there evidence of increasing or
decreasing fraud among third-party
examiners based on the pass rates and
subsequent safety history of CDL
holders who were tested by third-party
testers?
2. Are there significant differences in
the outcomes of third-party testing on
CDL testing?
3. Would it be feasible to conduct a
future study on the safety impacts of
delegating CDL knowledge testing to
third-party testers based on available
data?
4. How do the driving histories of
drivers who received behind-the-wheel
training (pre-ELDT requirements)
compare to drivers who completed the
new ELDT requirements?
5. How do the driving histories of
drivers who received theory instruction
(pre-ELDT requirements) compare to
drivers who completed the new ELDT
requirements?
6. How do skills test pass rates of
drivers pre-ELDT compliance compare
to pass rates of drivers after the ELDT
compliance date?
7. Are there identifiable safety
benefits that have been realized by the
adoption of the 2005 AAMVA CDL Test
Model?
8. Are there external factors
preventing SDLAs and the CDL
community from achieving the full
potential of safety benefits of the 2005
AAMVA CDL Test Model?
This one-time survey is necessary to
determine institutional and
programmatic issues in assessing the
effectiveness of the ELDT programs and
where improvements should be made;
this will ultimately contribute to the
safety of our transportation system. The
survey will allow researchers to
determine which version of the AAMVA
V test model (or equivalent) is being
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utilized, as required by 49 CFR parts
383.131–133.
Title 23, United States Code (U.S.C.),
Chapter 4, Section 403 authorizes the
Secretary to use funds appropriated to
carry out this section to conduct
research and development activities,
including demonstration projects and
the collection and analysis of highway
and motor vehicle safety data and
related information with respect to all
aspects of highway and traffic safety
systems and conditions relating to
vehicle, highway, driver, passenger,
motorcyclist, bicyclist, and pedestrian
characteristics; accident causation and
investigations; and human behavioral
factors and their effect on highway and
traffic safety, including driver
education, impaired driving and
distracted driving; and research on,
evaluations of, and identification of best
practices related to driver education
programs (including driver education
curricula, instructor training and
certification, program administration,
and delivery mechanisms) and make
recommendations for harmonizing
driver education and multistage
graduated licensing systems; and the
effect of State laws on any aspects,
activities, or programs described in
subparagraphs (A) through (E). (See 23
U.S.C. 403(b)(1)(A)(i)–(ii), 23 U.S.C.
403(b)(1)(B)(i)–(iii), 23 U.S.C.
403(b)(1)(E), 23 U.S.C. 403(b)(1)(F)).
Title: Effectiveness of Third-Party
Testing and Minimum Standards for
Commercial Driver’s License (CDL)
Knowledge and Skills Tests.
OMB Control Number: 2126–00XX.
Type of Request: New ICR.
Respondents: State and local
Government employees (management,
professional and related); one
respondent per State and one
respondent for the District of Columbia.
Estimated Number of Respondents: 51
respondents.
Estimated Time per Response: 1.42
hours per respondent.
Expiration Date: N/A. This is a new
ICR.
Frequency of Response: There is a
one-time response to the survey per
respondent.
Estimated Total Annual Burden:
72.42 hours (1.42 hours per response ×
51 respondents) at an estimated cost of
$4,749.63 ($93.13 per respondent × 51
respondents).
Definitions: N/A.
Public Comments Invited: You are
asked to comment on any aspect of this
information collection, including: (1)
whether the proposed collection is
necessary for the performance of
FMCSA’s functions; (2) the accuracy of
the estimated burden; (3) ways for
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Fmt 4703
Sfmt 4703
FMCSA to enhance the quality,
usefulness, and clarity of the collected
information; and (4) ways that the
burden could be minimized without
reducing the quality of the collected
information. The Agency will
summarize or include your comments in
the request for OMB’s clearance of this
ICR.
Issued under the authority of 49 CFR 1.87.
Thomas P. Keane,
Associate Administrator, Office of Research
and Registration.
[FR Doc. 2022–20406 Filed 9–20–22; 8:45 am]
BILLING CODE 4910–EX–P
DEPARTMENT OF TRANSPORTATION
Federal Motor Carrier Safety
Administration
[Docket No. FMCSA–2022–0163]
Agency Information Collection
Activities; New Information Collection:
Human Factors Considerations in
Commercial Motor Vehicle Automated
Driving Systems
Federal Motor Carrier Safety
Administration (FMCSA), Department
of Transportation (DOT).
ACTION: Notice and request for
comments.
AGENCY:
In accordance with the
Paperwork Reduction Act of 1995,
FMCSA announces its plan to submit
the Information Collection Request (ICR)
described below to the Office of
Management and Budget (OMB) for its
review and approval and invites public
comment. This notice invites comments
on a proposed information collection
titled Human Factors Considerations in
Commercial Motor Vehicle Automated
Driving Systems. It is a driving
simulator study with a series of
questionnaires that will evaluate how
commercial motor vehicle (CMV)
drivers engage in Society of Automotive
Engineers (SAE) Level 2 (L2) and Level
3 (L3) automated driving system (ADS)equipped CMVs. Approximately 100
CMV drivers will participate in the
study. The study will examine the effect
of non-driving secondary task
engagement, transfer of control, and
training on driver behavior in ADSequipped CMVs.
DATES: Comments on this notice must be
received on or before November 21,
2022.
ADDRESSES: You may submit comments
identified by Federal Docket
Management System Docket Number
FMCSA–2022–0163 using any of the
following methods:
SUMMARY:
E:\FR\FM\21SEN1.SGM
21SEN1
khammond on DSKJM1Z7X2PROD with NOTICES
Federal Register / Vol. 87, No. 182 / Wednesday, September 21, 2022 / Notices
• Federal eRulemaking Portal:
https://www.regulations.gov. Follow the
online instructions for submitting
comments.
• Fax: 1–202–493–2251.
• Mail: Dockets Operations; U.S.
Department of Transportation, 1200
New Jersey Avenue SE, West Building,
Ground Floor, Room W12–140,
Washington, DC 20590–0001.
• Hand Delivery or Courier: U.S.
Department of Transportation, 1200
New Jersey Avenue SE, West Building,
Ground Floor, Room W12–140,
Washington, DC 20590–0001 between 9
a.m. and 5 p.m. e.t., Monday through
Friday, except Federal holidays.
Instructions: All submissions must
include the Agency name and docket
number. For detailed instructions on
submitting comments, see the Public
Participation heading below. Note that
all comments received will be posted
without change to https://
www.regulations.gov, including any
personal information provided. Please
see the Privacy Act heading below.
Docket: For access to the docket to
read background documents or
comments received, go to https://
www.regulations.gov, and follow the
online instructions for accessing the
docket, or go to the street address listed
above.
Privacy Act: In accordance with 5
U.S.C. 553(c), DOT solicits comments
from the public to better inform its
decision making. DOT posts these
comments, without edit, including any
personal information the commenter
provides, to https://
www.regulations.gov, as described in
the system of records notice (DOT/ALL–
14 FDMS), which can be reviewed at
https://www.dot.gov/privacy.
Public Participation: The Federal
eRulemaking Portal is available 24
hours each day, 365 days each year. You
can obtain electronic submission and
retrieval help and guidelines under the
‘‘FAQ’’ section of the Federal
eRulemaking Portal website. If you want
us to notify you that we received your
comments, please include a selfaddressed, stamped envelope or
postcard, or print the acknowledgement
page that appears after submitting
comments online. Comments received
after the comment closing date will be
included in the docket and will be
considered to the extent practicable.
FOR FURTHER INFORMATION CONTACT:
Theresa Hallquist, Office of Research
and Registration, DOT, FMCSA, West
Building 6th Floor, 1200 New Jersey
Avenue SE, Washington, DC 20590–
0001; 202–366–1064; theresa.hallquist@
dot.gov.
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19:54 Sep 20, 2022
Jkt 256001
SUPPLEMENTARY INFORMATION:
Background
Lower levels of automated driving
system (ADS)-equipped CMVs present
an environment that is ripe for
overreliance. An L2 vehicle offers
longitudinal and lateral support to the
driver; however, the driver is still
responsible for driving at all times. At
this level, engaging in non-driving
secondary tasks can be highly
detrimental to driving performance as
the driver may not recognize and
respond to hazards timely or
appropriately. In an L3 vehicle, the role
of distraction is blurred. The driver
takes on a more supervisory role and is
in full control of the vehicle in a limited
number of situations. When an L3
vehicle alerts the driver that a takeover
is required, the driver needs to have
situational awareness to resume full
control of the vehicle. Engagement in
non-driving secondary tasks may
prevent the driver from maintaining
situational awareness of the driving
environment.
A recently completed study by
FMCSA on research involving ADSs in
CMVs found a lack of research related
to ADS-equipped CMVs. To date, most
commercial ADSs on U.S. roadways are
in passenger vehicles, and CMV ADSs
are only recently being implemented in
real-world operations. Therefore,
FMCSA needs more data on ADSequipped CMVs to understand driver
behavior and policy implications.
The purpose for obtaining data in this
study is to evaluate driver readiness to
assume control in SAE L2 and L3 ADSequipped CMVs and develop and test a
CMV driver distraction training program
designed to improve driver readiness.
Specifically, there are three primary
objectives for the data collection: (i)
determine the effect of distraction on
CMV drivers of L2 vehicles; (ii)
determine the effect of transfer of
control on CMV drivers in L3 vehicles;
and (iii) develop and evaluate a training
program that is designed to decrease the
levels of distraction that were identified
in CMV drivers in L2 vehicles and
designed to improve the problems with
the transfer of control that were
identified in L3 vehicles. Answers to
these research questions will provide
insight into the human factors
associated with semi-automated CMVs.
Moreover, these findings will inform
training materials to educate drivers on
distraction and the functionality of ADS
as well as policy pertaining to the
implications of ADSs in CMVs.
The study includes data collection
from a series of questionnaires and a
driving simulator-focused experiment.
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Fmt 4703
Sfmt 4703
57751
The collected survey data will support
the simulator experiment data. The
survey data will be used in two ways:
in the assessment of driving
performance data as covariates in the
model (to control for certain
demographic variables, such as age,
gender, and experience) and to answer
a research question on the relationship
between driver characteristics and
driver readiness and performance. Data
on driver readiness and performance
will be collected from the simulator
experiment. Eligible drivers will hold a
valid commercial driver’s license,
currently drive a CMV, be 21 years of
age or older, and pass the motion
sickness history screening
questionnaire.
Data will be collected over two study
sessions. The first study session will
collect data on the effects of non-driving
secondary tasks and readiness to resume
control of an L2- or L3-equipped CMV.
The second study session will assess the
effectiveness of driver training to
improve safety while operating an L2 or
L3 CMV. Questionnaire data will be
collected prior to the simulator study,
during the simulator study, and after the
simulator study. In addition,
participants will complete
questionnaires about the training in the
second study session. All questionnaires
will be preloaded in an app format for
drivers to complete on a tablet.
We anticipate 100 participants in total
for the driving simulator study. Fifty
drivers will participate in the L2 study
sessions, and the other 50 drivers will
participate in the L3 study sessions.
During consent, each participant will
agree to participate in both the L2/L3
simulator study session and the training
study session. For a participant who
chooses not to continue, a new driver
will be recruited to fill their position.
These new participants will not have
data from the L2/L3 study but will need
to complete a new consent form, pre-/
post-study questionnaires, and the
training questionnaire. Each study
session will be completed in 4 hours,
resulting in a total of up to 8 hours of
participation for drivers that complete
both study sessions.
Multiple analyses will be used,
including an assessment of driver
distraction and its effects on driver
readiness and driving performance. In
the L2 and L3 studies, general linear
mixed models (GLMMs) will be used to
answer the research questions. In the
transportation safety field, GLMMs are
often used to analyze driver behavior
and assess relationships between
driving scenarios and behaviors. To
evaluate the effectiveness of the training
program, linear mixed models will be
E:\FR\FM\21SEN1.SGM
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Federal Register / Vol. 87, No. 182 / Wednesday, September 21, 2022 / Notices
used with random intercepts. Driver
random intercepts will account for
participants’ correlated behaviors and
expectations in the L2 or L3 system
before and after training.
Title: Human Factors Considerations
in Commercial Motor Vehicle
Automated Driving Systems.
OMB Control Number: 2126–00XX.
Type of Request: New ICR.
Respondents: CMV drivers.
Estimated Number of Respondents:
100.
Estimated Time per Response: 4
hours.
Expiration Date: This is a new ICR.
Frequency of Response: Two
responses.
Estimated Total Annual Burden:
475.5 hours.
Public Comments Invited: You are
asked to comment on any aspect of this
information collection, including: (1)
whether the proposed collection is
necessary for the performance of
FMCSA’s functions; (2) the accuracy of
the estimated burden; (3) ways for
FMCSA to enhance the quality,
usefulness, and clarity of the collected
information; and (4) ways that the
burden could be minimized without
reducing the quality of the collected
information. The Agency will
summarize or include your comments in
the request for OMB’s clearance of this
ICR.
Issued under the authority of 49 CFR 1.87.
Thomas P. Keane,
Associate Administrator, Office of Research
and Registration.
[FR Doc. 2022–20405 Filed 9–20–22; 8:45 am]
BILLING CODE 4910–EX–P
DEPARTMENT OF THE TREASURY
Office of Foreign Assets Control
FOR FURTHER INFORMATION CONTACT:
OFAC: Andrea Gacki, Director, tel.:
202–622–2490; Associate Director for
Global Targeting, tel.: 202–622–2420;
Assistant Director for Licensing, tel.:
202–622–2480; Assistant Director for
Regulatory Affairs, tel.: 202–622–4855;
or the Assistant Director for Sanctions
Compliance & Evaluation, tel.: 202–622–
2490.
SUPPLEMENTARY INFORMATION:
Electronic Availability
The Specially Designated Nationals
and Blocked Persons List and additional
information concerning OFAC sanctions
programs are available on OFAC’s
website (www.treasury.gov/ofac).
Notice of OFAC Action
On September 15, 2022, OFAC
determined that the property and
interests in property subject to U.S.
jurisdiction of the following person are
blocked under the relevant sanctions
authority listed below.
Electronic Availability
Individuals
Notice of OFAC Actions
1. MUTAMBA, Stephen, 192 Baines
Ave., Harare, Harare, Zimbabwe; DOB
23 Oct 1961; POB Harare, Zimbabwe;
Gender Male; Passport FN460001
(Zimbabwe); National ID No.
58004069A3 (Zimbabwe); Deputy
Commissioner General, Administration,
Zimbabwe Republic of Police
(individual) [ZIMBABWE].
Designated pursuant to section
1(a)(iii) of Executive Order 13469 of July
25, 2008, ‘‘Blocking Property of
Additional Persons Undermining
Democratic Processes or Institutions in
Zimbabwe,’’ 73 FR 43841, for having
engaged in actions or policies to
undermine Zimbabwe’s democratic
processes or institutions.
On March 6, 2003, the President
issued Executive Order 13288 pursuant
to the International Emergency
Economic Powers Act, 50 U.S.C. 1701 et
seq., the National Emergencies Act, 50
U.S.C. 1601 et seq., and section 301 of
title 3, United States Code. In Executive
Order 13288, the President declared a
national emergency to deal with the
unusual and extraordinary threat to the
foreign policy of the United States
posed by the actions and policies of
certain members of the Government of
Zimbabwe and other persons to
undermine Zimbabwe’s democratic
processes or institutions. Executive
Order 13288 blocks the property and
interests in property of, inter alia,
persons listed in the Annex to the
Executive Order.
On November 22, 2005, the President
issued Executive Order 13391, which,
inter alia, replaced and superseded the
Annex to Executive Order 13288 with a
new Annex that included the names of
individuals and entities, including
individuals and entities that had
previously been designated under
Executive Order 13288.
On September 15, 2022, OFAC
determined that the following persons
should be removed from the SDN List
and that the property and interests in
property subject to U.S. jurisdiction of
the following persons are unblocked:
Dated: September 15, 2022.
Andrea M. Gacki,
Director, Office of Foreign Assets Control,
U.S. Department of the Treasury.
Notice of OFAC Sanctions Action
Office of Foreign Assets
Control, Treasury.
ACTION: Notice.
AGENCY:
[FR Doc. 2022–20390 Filed 9–20–22; 8:45 am]
BILLING CODE 4810–AL–P
The U.S. Department of the
Treasury’s Office of Foreign Assets
Control (OFAC) is publishing the names
of one or more persons that have been
placed on OFAC’s Specially Designated
Nationals and Blocked Persons List
based on OFAC’s determination that one
or more applicable legal criteria were
satisfied. All property and interests in
property subject to U.S. jurisdiction of
this person are blocked, and U.S.
persons are generally prohibited from
engaging in transactions with them.
DATES: See SUPPLEMENTARY INFORMATION
section for effective date(s).
khammond on DSKJM1Z7X2PROD with NOTICES
SUMMARY:
VerDate Sep<11>2014
19:54 Sep 20, 2022
Jkt 256001
Designated Nationals and Blocked
Persons List (SDN List). Their property
and interests in property are no longer
blocked and U.S. persons are no longer
generally prohibited from engaging in
transactions with them.
DATES: See SUPPLEMENTARY INFORMATION
section for applicable date(s).
FOR FURTHER INFORMATION CONTACT:
OFAC: Andrea Gacki, Director, tel.:
202–622–2480; Associate Director for
Global Targeting, tel: 202–622–2420;
Assistant Director for Licensing, tel.:
202–622–2480; Assistant Director for
Regulatory Affairs, tel.: 202–622–4855;
or the Assistant Director for Sanctions
Compliance & Evaluation, tel.: 202–622–
2490.
SUPPLEMENTARY INFORMATION:
DEPARTMENT OF THE TREASURY
Office of Foreign Assets Control
Notice of OFAC Sanctions Actions
Office of Foreign Assets
Control, Treasury.
ACTION: Notice.
AGENCY:
The U.S. Department of the
Treasury’s Office of Foreign Assets
Control (OFAC) is publishing the name
of one or more persons that have been
removed from OFAC’s Specially
SUMMARY:
PO 00000
Frm 00073
Fmt 4703
Sfmt 4703
The SDN List and additional
information concerning OFAC sanctions
programs are available on OFAC’s
website (www.treasury.gov/ofac).
Individuals
1. MANYONDA, Kenneth, 6 Speke
Avenue, Murambi, Mutare, Zimbabwe;
DOB 10 Aug 1934; Central Committee
Member (individual) [ZIMBABWE].
E:\FR\FM\21SEN1.SGM
21SEN1
Agencies
[Federal Register Volume 87, Number 182 (Wednesday, September 21, 2022)]
[Notices]
[Pages 57750-57752]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2022-20405]
-----------------------------------------------------------------------
DEPARTMENT OF TRANSPORTATION
Federal Motor Carrier Safety Administration
[Docket No. FMCSA-2022-0163]
Agency Information Collection Activities; New Information
Collection: Human Factors Considerations in Commercial Motor Vehicle
Automated Driving Systems
AGENCY: Federal Motor Carrier Safety Administration (FMCSA), Department
of Transportation (DOT).
ACTION: Notice and request for comments.
-----------------------------------------------------------------------
SUMMARY: In accordance with the Paperwork Reduction Act of 1995, FMCSA
announces its plan to submit the Information Collection Request (ICR)
described below to the Office of Management and Budget (OMB) for its
review and approval and invites public comment. This notice invites
comments on a proposed information collection titled Human Factors
Considerations in Commercial Motor Vehicle Automated Driving Systems.
It is a driving simulator study with a series of questionnaires that
will evaluate how commercial motor vehicle (CMV) drivers engage in
Society of Automotive Engineers (SAE) Level 2 (L2) and Level 3 (L3)
automated driving system (ADS)-equipped CMVs. Approximately 100 CMV
drivers will participate in the study. The study will examine the
effect of non-driving secondary task engagement, transfer of control,
and training on driver behavior in ADS-equipped CMVs.
DATES: Comments on this notice must be received on or before November
21, 2022.
ADDRESSES: You may submit comments identified by Federal Docket
Management System Docket Number FMCSA-2022-0163 using any of the
following methods:
[[Page 57751]]
Federal eRulemaking Portal: https://www.regulations.gov.
Follow the online instructions for submitting comments.
Fax: 1-202-493-2251.
Mail: Dockets Operations; U.S. Department of
Transportation, 1200 New Jersey Avenue SE, West Building, Ground Floor,
Room W12-140, Washington, DC 20590-0001.
Hand Delivery or Courier: U.S. Department of
Transportation, 1200 New Jersey Avenue SE, West Building, Ground Floor,
Room W12-140, Washington, DC 20590-0001 between 9 a.m. and 5 p.m. e.t.,
Monday through Friday, except Federal holidays.
Instructions: All submissions must include the Agency name and
docket number. For detailed instructions on submitting comments, see
the Public Participation heading below. Note that all comments received
will be posted without change to https://www.regulations.gov, including
any personal information provided. Please see the Privacy Act heading
below.
Docket: For access to the docket to read background documents or
comments received, go to https://www.regulations.gov, and follow the
online instructions for accessing the docket, or go to the street
address listed above.
Privacy Act: In accordance with 5 U.S.C. 553(c), DOT solicits
comments from the public to better inform its decision making. DOT
posts these comments, without edit, including any personal information
the commenter provides, to https://www.regulations.gov, as described in
the system of records notice (DOT/ALL-14 FDMS), which can be reviewed
at https://www.dot.gov/privacy.
Public Participation: The Federal eRulemaking Portal is available
24 hours each day, 365 days each year. You can obtain electronic
submission and retrieval help and guidelines under the ``FAQ'' section
of the Federal eRulemaking Portal website. If you want us to notify you
that we received your comments, please include a self-addressed,
stamped envelope or postcard, or print the acknowledgement page that
appears after submitting comments online. Comments received after the
comment closing date will be included in the docket and will be
considered to the extent practicable.
FOR FURTHER INFORMATION CONTACT: Theresa Hallquist, Office of Research
and Registration, DOT, FMCSA, West Building 6th Floor, 1200 New Jersey
Avenue SE, Washington, DC 20590-0001; 202-366-1064;
[email protected].
SUPPLEMENTARY INFORMATION:
Background
Lower levels of automated driving system (ADS)-equipped CMVs
present an environment that is ripe for overreliance. An L2 vehicle
offers longitudinal and lateral support to the driver; however, the
driver is still responsible for driving at all times. At this level,
engaging in non-driving secondary tasks can be highly detrimental to
driving performance as the driver may not recognize and respond to
hazards timely or appropriately. In an L3 vehicle, the role of
distraction is blurred. The driver takes on a more supervisory role and
is in full control of the vehicle in a limited number of situations.
When an L3 vehicle alerts the driver that a takeover is required, the
driver needs to have situational awareness to resume full control of
the vehicle. Engagement in non-driving secondary tasks may prevent the
driver from maintaining situational awareness of the driving
environment.
A recently completed study by FMCSA on research involving ADSs in
CMVs found a lack of research related to ADS-equipped CMVs. To date,
most commercial ADSs on U.S. roadways are in passenger vehicles, and
CMV ADSs are only recently being implemented in real-world operations.
Therefore, FMCSA needs more data on ADS-equipped CMVs to understand
driver behavior and policy implications.
The purpose for obtaining data in this study is to evaluate driver
readiness to assume control in SAE L2 and L3 ADS-equipped CMVs and
develop and test a CMV driver distraction training program designed to
improve driver readiness. Specifically, there are three primary
objectives for the data collection: (i) determine the effect of
distraction on CMV drivers of L2 vehicles; (ii) determine the effect of
transfer of control on CMV drivers in L3 vehicles; and (iii) develop
and evaluate a training program that is designed to decrease the levels
of distraction that were identified in CMV drivers in L2 vehicles and
designed to improve the problems with the transfer of control that were
identified in L3 vehicles. Answers to these research questions will
provide insight into the human factors associated with semi-automated
CMVs. Moreover, these findings will inform training materials to
educate drivers on distraction and the functionality of ADS as well as
policy pertaining to the implications of ADSs in CMVs.
The study includes data collection from a series of questionnaires
and a driving simulator-focused experiment. The collected survey data
will support the simulator experiment data. The survey data will be
used in two ways: in the assessment of driving performance data as
covariates in the model (to control for certain demographic variables,
such as age, gender, and experience) and to answer a research question
on the relationship between driver characteristics and driver readiness
and performance. Data on driver readiness and performance will be
collected from the simulator experiment. Eligible drivers will hold a
valid commercial driver's license, currently drive a CMV, be 21 years
of age or older, and pass the motion sickness history screening
questionnaire.
Data will be collected over two study sessions. The first study
session will collect data on the effects of non-driving secondary tasks
and readiness to resume control of an L2- or L3-equipped CMV. The
second study session will assess the effectiveness of driver training
to improve safety while operating an L2 or L3 CMV. Questionnaire data
will be collected prior to the simulator study, during the simulator
study, and after the simulator study. In addition, participants will
complete questionnaires about the training in the second study session.
All questionnaires will be preloaded in an app format for drivers to
complete on a tablet.
We anticipate 100 participants in total for the driving simulator
study. Fifty drivers will participate in the L2 study sessions, and the
other 50 drivers will participate in the L3 study sessions. During
consent, each participant will agree to participate in both the L2/L3
simulator study session and the training study session. For a
participant who chooses not to continue, a new driver will be recruited
to fill their position. These new participants will not have data from
the L2/L3 study but will need to complete a new consent form, pre-/
post-study questionnaires, and the training questionnaire. Each study
session will be completed in 4 hours, resulting in a total of up to 8
hours of participation for drivers that complete both study sessions.
Multiple analyses will be used, including an assessment of driver
distraction and its effects on driver readiness and driving
performance. In the L2 and L3 studies, general linear mixed models
(GLMMs) will be used to answer the research questions. In the
transportation safety field, GLMMs are often used to analyze driver
behavior and assess relationships between driving scenarios and
behaviors. To evaluate the effectiveness of the training program,
linear mixed models will be
[[Page 57752]]
used with random intercepts. Driver random intercepts will account for
participants' correlated behaviors and expectations in the L2 or L3
system before and after training.
Title: Human Factors Considerations in Commercial Motor Vehicle
Automated Driving Systems.
OMB Control Number: 2126-00XX.
Type of Request: New ICR.
Respondents: CMV drivers.
Estimated Number of Respondents: 100.
Estimated Time per Response: 4 hours.
Expiration Date: This is a new ICR.
Frequency of Response: Two responses.
Estimated Total Annual Burden: 475.5 hours.
Public Comments Invited: You are asked to comment on any aspect of
this information collection, including: (1) whether the proposed
collection is necessary for the performance of FMCSA's functions; (2)
the accuracy of the estimated burden; (3) ways for FMCSA to enhance the
quality, usefulness, and clarity of the collected information; and (4)
ways that the burden could be minimized without reducing the quality of
the collected information. The Agency will summarize or include your
comments in the request for OMB's clearance of this ICR.
Issued under the authority of 49 CFR 1.87.
Thomas P. Keane,
Associate Administrator, Office of Research and Registration.
[FR Doc. 2022-20405 Filed 9-20-22; 8:45 am]
BILLING CODE 4910-EX-P