ADAS & Autonomous Vehicle Engineering - November 2023 - 18

Standards
sharing of skills and expertise in addition to sharing
of information and existing data.
An example is the Arizona IAM Consortium
Collaborative Data Sharing. Arizona's IAM consortium
is leveraging existing infrastructure to collect
performance data on public roads.
A New Driver: The new driver of tomorrow will be
the vehicle. This Framework is an instrument that
provides examples and scenarios to those conducting
tests, pilots to prepare for a safe and functional road
network with, at first, both human and ADS drivers
sharing the road - and then aid in transitioning the
network into the 'new normal.'
Figure 3: The FHWA Framework's key test phases.
will greatly aid in navigating any difficulties. The
Framework adopts the premise that for ADS/roadway
testing and evaluation, safety of all road users is the
greatest priority. Within this premise, state and local
regulatory policies must be developed, requiring that
the policymakers be well-informed on relevant topics
and kept up to date on developments.
Roles and Responsibilities: In the process of ADS/
roadway testing and evaluation, it is important to
identify whom from the various organizations needs
to participate, what roles within the organizations are
needed and when (i.e., in which test phases) they need
to participate.
Plans: For a collaborative environment to exist,
stakeholders' participation as part of the test-design
plan, data-collection plan and evaluation plan can
be beneficial.
One example is Waymo's First Responder
Engagement Plan. The objective of this plan is to, in
an emergency scenario, provide first responders with
the knowledge they need to safely identify, approach
and interact with a vehicle equipped with an ADS.
Sharing Opportunities: Data is a key issue that
requires thorough discussions from IOO and ADS
stakeholders to avoid challenges (e.g., proprietary data/
information, use of data). Resource sharing includes
Success Factors: The most critical success factors
include enhancement of technical maturity, comprehension
of ADS, roadway test elements, the process,
stakeholder engagement and collaboration and
ongoing public communications. The Framework aids
in assisting the ADS and IOO participants in defining
test success factors within each test phase.
Framework Application
The activities for successful collaborative testing and
evaluation can be categorized into four test phases,
shown in Figure 3.
Pre-Test Phase: The output of the Pre-Test phase is
a clearly-identified problem statement that is based
both on the internal needs of the ADS developers and
the industry. Program risks - including operational,
technical, data, legal and financial - should be identified
during this phase.
Test Definition Phase: The objective of the Test
Definition phase is to conduct activities which help
define the technical and data facets of a collaborative
test program. Having clearly-defined success criteria
ensures an overall higher test quality.
Test Execution Phase: In the Test Execution phase,
both technical and data facets of the collaborative ADS
and roadway testing proceed as defined in the Test
Plan. The focus is on efficient collection of performance
data. After completion, ADS performance data
is gathered and reviewed to determine if the system
is ready to advance to the next phase. For example, if
the performance failure at night is considered critical
by the stakeholders, then it is likely new tests will be
scheduled after updates are made.
18 November 2023
ADAS & AUTONOMOUS VEHICLE ENGINEERING
18 November 2023
ADAS & AUTONOMOUS VEHICLE ENGINEERING
U.S. DOT
ADAS & Autonomous Vehicle Engineering - November 2023

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