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- Mobility Program Workshop
- Arlington, Virginia
- December 1, 2010
- Valerie Briggs
- Suzanne Sloan
- U.S. DOT / Volpe National Transportation Systems Center
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- Top-Down:
- Policy Roadmap (version 8), December 2009
- Major, cross-cutting policy focused on deployment
- Bottom-Up:
- Specific technical policy issues focused on supporting ongoing research
and major research milestones
- Policy issues identified by deconstructing technical research roadmaps
- Example is Safety Policy Roadmap
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- Purpose:
- Outline policy and institutional issues in an organized, structured
manner.
- Develop plan for research and analysis that results in options and
recommendations in support of Mobility IntelliDrive.
- Research results and decision points are driven by:
- Acquisition of Data Sets for Phase I (static) and Phase II (real-time)
(Data Set Acq.)
- Development of Test Data Environment(s) (Data Env.)
- Launch of an Open Source Portal for Software Programmers (OS Portal)
- Acquisition of Applications (Apps.)
- Launch of Federated Data Environments (Federated Env.)
- Organization:
- Key policy questions
- Specific research tasks
- Outcomes for major program milestones
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- Identified 4 key policy issue areas in collaboration with technical team
and stakeholders:
- Intellectual Property Rights
- Governance
- Structure and Authority
- Participation and Access
- Rules of Conduct and Operation
- Standards
- Metadata
- Risk
- Privacy
- Liability
- Security
- Market Analysis
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- Developers – what can I expect?
What requirements will be placed upon me? How will this world operate? What can
I claim as intellectual capital and commercialize? What do I have to
provide in return?
- Contributors of Data – what copyright will I retain, if any? What
liability might I have? What format/standards must I adhere to in
providing data? Is there a
corresponding return/benefit to me?
- Agencies as Purchasers/Users of products – what is quality of
product? What liability might I
have? Do my local laws allow me to purchase and use OS? To provide OD?
What additional costs must I consider?
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- Travelers/Users – does any of this violate my privacy or have the
ability to expose personal information? Who owns the data that I
generate? Does it have value? To
whom and for what purpose? Will any of these new products distract me
from safe driving or travel? Will my warnings and alerts be from a safe,
authenticated source?
- General – is this world secure enough to prevent viruses or hacking into
systems? Is the data of enough
quality to be used for safety warnings? Who are decision makers? Who
resolves conflicts? What is value to data/value to access of data? Are
their laws that act as barriers? Are they uniform across
States/locales/organizations? What is cost of OS products?
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- Definition
- Intellectual property rights address issues application developers are
concerned with: patents, copyrights, and trademarks. Intellectual
property rights must be defined in order to protect software and enable
application production.
- Objectives
- Define what intellectual property rights are being granted to whom, by
whom, and when.
- Identify conflicts associated with open source programming and
retention of intellectual property.
- Identify methods for protecting a data contributor’s intellectual
property rights.
- Evaluate and adopt a licensing agreement template in order to grant
application developers rights that support their ability to gain value
from their enhancements.
- Generate rules of conduct for access to and modification of data
environments and open source code, respectively.
- Define what makes for a good open source environment
- Define how to develop an active and interested community of users and
a service industry (maintenance, upgrades)
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- Expected Outcomes by Milestone:
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- Three types:
- Governance of Data Environments and OS Portal
- Data Governance Mechanisms
- Governance Authority/Entity
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- Definition
- Governance analysis will determine who can participate and how in the
IntelliDrive Mobility data environments. The structure includes
agreements, permissions, and levels of access.
- Objectives
- Identify logical participation requirements for the data environments.
- Develop an administrative structure that corresponds to the structure
of the environment itself.
- Determine appropriate levels of access and the criteria associated
with those access levels.
- Analyze issues associated with foreign requests for data.
- Determine if there is an appropriate level of disclosure of personal
information in return for access to data environments.
- Ensure that data and portal provide accessibility to all who wish to
access these tools.
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- Definition
- Rules create the boundaries that define the conduct of developer actions
within the open source and data environments and define the
role/expectation for operations within the environments, including
appropriate use of data and code.
- Objectives
- Identify proper rules associated with use and operation within the
environment that do not clash with federal, state, and local laws, in
particular, accessibility laws.
- Develop a proper system for monitoring misbehavior and applying
sanctions to users who do not follow rules of conduct
- Create an easily accessible rules of conduct document.
- Develop rules and guidance for administrative staff associated with
the data environments.
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- Definition
- Standards refer to the application of an expected level of data quality
and composition within the open source environment. Standards also refer
to the standards and requirements for providing safe and effective
displays, warnings, and alerts.
- Objectives
- Work with the ITS Standards experts to Identify whether data will be
standardized according to existing or new standards; identify impact.
- Develop a code of standards for data quality, accuracy, and the
elimination of PII where appropriate.
- Determine the best format to store and gather data sources and ensure
that the data is uniform and compatible.
- Work with the Human Factors experts to develop policy recommendations
on visual / audial / haptic standards and develop guidance for
developers.
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- Definition
- Metadata refers to the need for a high-level description of the data
environment itself, including what data it contains and the general
conditions under which data were captures and should be prepared.
- Objectives
- Assign responsibility for the creation of the metadata system as well
as its upkeep.
- Determine mechanisms for access to documentation.
- Define process for adding new categories or changing existing ones –
who makes the decision? Who needs to be involved and/or notified? How will this be implemented?
- Determine what efforts /costs are needed for maintenance and upgrade.
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- Definition
- Governance analysis defines roles, responsibilities, rules, and
authorities and results in options for models that define who can take
what actions with what information, under what circumstances, and using
what methods; and the consequences for not following the appropriate
rules.
- Objectives
- Identify the type of governance best suited for IntelliDrive data
environments; and whether different environments will require
different governance.
- Review different options for how to best optimize the goals of the
program through governance.
- Address whether there is a need for new governance entities if not
being managed by Federal government.
- Analyze costs associated with establishing governance structures.
- Identify common elements of misbehavior and enforcement techniques
(and how they are applied).
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- Expected Outcomes by Milestone:
- ***Looking to mechanisms on previous slides for governance before
identifying need for governance entity
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- Definition
- Privacy includes two key elements: ability to be tracked through
location data and exposure of personally-identifiable information
(PII). If PII is involved, other
elements of privacy include use of data, notification of how data is
used, and transparency and accountability (based on VII Privacy
Policies, 2007).
- Objectives
- Identify the key risk areas associated with non-DSRC communications
including WiFi , satellite, and cellular signals.
- Develop a code of conduct for developers who intend to use PII and
require they divulge prospective use of PII to consumers.
- Identify a process for allowing or disallowing data with PII from data
contributors.
- Determine whether there is a level of non-intrusive PII that would
serve to optimize mobility applications.
- Identify potential differences between jurisdictions regarding
privacy.
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- Definition
- For IntelliDrive Mobility, liability is likely to focus on product
liability law and the complications arising from shared data and
cooperatively developed source code and applications.
- Objectives
- Analyze how current product liability law applies to IntelliDrive
(given shared data/cooperatively developed code and applications) and
analyze at which point liability is transferred from one party to
another.
- Identify liability issues associated with the dissemination of PII.
- Analyze the probability of malicious action within the open source
environment and the relative likelihood of serious consequences.
- Develop policies that mitigate the consequences and enable market
development and ensure that data has passed rigorous quality control
tests before entering data environments.
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- Definition
- The identification of potential security risks within the communication
spectrum is a complex issue, in particular because Mobility IntelliDrive
leverages wireless other than DSRC. Addressing the security issues
within all of these spectrums will be key to protecting the public at
large from predatory actions and ensure that message transmission is
authentic.
- Objectives
- Data Environments:
- Analyze the risks associated with storing data in large repositories
and if that makes data a more attractive target.
- Applications:
- Identify risks associated with non-DSRC communications and how that
effects the deployment and safety of consumer applications.
- Analyze whether certain applications are likely to be more vulnerable
than others.
- Compare and recommend different encryption techniques for managing the
safety of PII.
- Determine whether open source software/applications are more open to
security breaches than proprietary software/applications.
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- Expected Outcomes by Milestone:
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- Definition
- Market analysis will provide input on recommended options in support of
market development, deployment, and use of innovative mobility
applications.
- Objectives
- Analyze the prospect of a data environment becoming financially
self-sustaining after an initial government investment; and determine
whether there are commercial scenarios associated with that prospect.
- Attempt to identify value of pertinent data and/or access to data.
- Determine what incentives attract private sector participation in development of open source
applications, and/or commercialization of applications, once
developed.
- Identify external costs and issues associated with the adoption of new
open source software for transportation management entities.
- Identify user acceptance issues – both agencies and consumers – and
laws that might hinder adoption.
- Analyze and frame policy issues may occur for agencies in system
optimization versus personal mobility optimization versus
environmental optimization
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- Expected Outcomes by Milestone:
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- Take comments and finalize roadmap
- Post to website and request feedback
- Develop final policy roadmap for Mobility IntelliDrive
- Develop execution plan
- Identify what is already known or best practice – report in Winter 2011
- Identify what further requires research in support of deployment --and
the Federal role in providing that research to the community
- Identify how stakeholders and experts play a role in conducting the
research
- Present results to Mobility technical team in accordance with key
milestone dates to keep technical progress moving forward
- Present results to stakeholders through meetings, webinars, website
postings
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