SlideShare une entreprise Scribd logo
1  sur  28
Strategic Planning for
Transportation for the Nation (TFTN)
Steve Lewis
Geospatial Information Officer, USDOT
Director, Office of Geospatial Information Systems, USDOT/RITA/BTS
November 10, 2010
Steering Committee Roles and Responsibilities
“At Large” Steering Committee
Participate in periodic teleconferences and webinars
Listen and advise during the planning process
Option to receive and review all documents
Prepare to adopt the resulting plan as a product in some fashion
Executive Steering Committee
Same as members of the at-large group, plus
Document review and feedback
Sounding board on difficult issues or questions
Adjudicating differences of opinion coming from different stakeholders
Support in gathering input and promoting the planning process
3
U.S. Department of Transportation
Research and Innovative Technology Administration
Background
Influenced by several different efforts:
 In 2008, an “issues brief” by NSGIC called for the creation of TFTN
 OMB Circular A-16 identifies the USDOT as the “lead agency” for
the “transportation theme” of the National Spatial Data Infrastructure
(NSDI).
 Emerging USDOT data requirements for geospatial data for all
roads, such as accident reporting for enhanced safety and bridge
inventory.
 Aligned with several initiatives such the emerging federal
Geospatial Platform concept. - one element of the “geospatial
portfolio”
4
U.S. Department of Transportation
Research and Innovative Technology Administration
TFTN Concept
“Creation and maintenance of high-quality, nationwide
transportation data that is in the public domain”
□ An initial focus on street centerlines, but eventually multi-modal
□ Nationwide data spanning all states and territories
□ All roads, not just Federally funded roads
□ Provides a common geometric baseline
▪ Road naming
▪ Persistent segment ID numbering
▪ Advanced functionality is built on top of baseline
□ Data is in the public domain and readily shareable
5
U.S. Department of Transportation
Research and Innovative Technology Administration
6
U.S. Department of Transportation
Research and Innovative Technology Administration
Strategic Planning Effort - History
RITA/BTS agreed to fund and manage the effort
Funds obligated and contractor selected in October 2009
□ Koniag Technology Solutions
□ Applied Geographics
Suffered through many contracting glitches associated
with “end-of-year” money
Contract finally awarded in March 2010
7
U.S. Department of Transportation
Research and Innovative Technology Administration
Strategic Planning Effort – The Process
Identify and engage stakeholders
Define requirements, challenges and opportunities
Document progress already made
□ Existing Datasets
□ Best Practices
□ New Ideas
Explore implementation issues
Evaluate funding sources
8
U.S. Department of Transportation
Research and Innovative Technology Administration
Stakeholder Outreach
9
U.S. Department of Transportation
Research and Innovative Technology Administration
Stakeholder Outreach - Presentations &
Workshops
10
U.S. Department of Transportation
Research and Innovative Technology Administration
Stakeholder Outreach - Interviews
• Safety
• Highway Performance Management System
• Intelligent Transportation Systems
• Asset Management
• Deputy Director of RITA
11
U.S. Department of Transportation
Research and Innovative Technology Administration
Trends
12
U.S. Department of Transportation
Research and Innovative Technology Administration
Trends from the Workshops and Interviews
 Near Unanimous Support
□ All of those interviewed and most of those who attended the
workshops have indicated their support for this effort
 Learned of a number of similar efforts underway that
benefit from TFTN
 Safety could be a key to the success of TFTN
□ A geospatial representation of ALL ROADS is needed to meet
many of the USDOTs Safety Initiatives
□ A geospatial representation of ALL ROADS is needed for
emergency response
□ Lots of federal money for safety initiatives
13
U.S. Department of Transportation
Research and Innovative Technology Administration
Trends from the Workshops and Interviews
 “Think Regionally Act Locally”
□ States and counties are beginning to look beyond their borders
□ States and counties are the authoritative data source for their
transportation data
 “Can you live with that?”
□ The Stakeholders have different needs
□ Need to find a baseline that works with everyone
□ Once the baseline is established, the consumers can add their
own “special sauce”
14
U.S. Department of Transportation
Research and Innovative Technology Administration
Baseline Geometry with “Special Sauce”
 The specifics of what’s included in “baseline geometry”
requires further definition
 Initial, minimal components might be:
□ Road naming
□ Basic attributes (e.g. functional classification)
□ Persistent segment ID numbering
 Seeking additional ideas and input from stakeholders on
what’s feasible
 “Special sauce” can be content and/or capabilities
15
U.S. Department of Transportation
Research and Innovative Technology Administration
Variety of stakeholders adds their own “special
sauce” on top
•TFTN: Common baseline foundation
of geometry, basic attributes
•State DOTs: Linear Referencing System (LRS)
•State DOTs: advanced attributes
•Private Sector: full routability and
immersive imagery
•USGS: Enhanced cartographic display and
labeling
•US Census: Polygon topology for census
geographic units
•State E911: Addresses
16
U.S. Department of Transportation
Research and Innovative Technology Administration
A Potential Model for TFTN - HPMS
 FHWA reporting requirements for the Highway
Performance Monitoring System (HPMS) include the
submission of a geospatial network of all Federal-aid
roads by each State DOT
 Current reporting requirements for the HPMS could be
expanded to require all roads
□ Detailed HPMS attributes would continue to be provided for only
Federal-aid roads
□ Annual nature of HPMS reporting provides a data update
mechanism
□ USDOT works with states to develop basic standards
□ Reporting requirement would enable states to utilize FHWA
funding for creation and maintenance of inventory
17
U.S. Department of Transportation
Research and Innovative Technology Administration
Obstacles Associated With This Model
 FHWA has to change the HPMS Reporting
Requirements to include all roads in the geospatial
submission
 States are not required to work with neighbors for
connectivity
 No USDOT resources currently available for
aggregation, assembly and publication of a nationwide
data set
 The level of quality/accuracy varies from State to State
18
U.S. Department of Transportation
Research and Innovative Technology Administration
Potential Vision for TFTN
ProduceCatalyze &
Standardize
Aggregate
& Publish
USDOT
via HPMS
• HPMS annual reporting requirement
• Opens funding
• Develops standards
• Products support broader US-DOT
business needs, such as Safety
• Ability to provide funding support to
local entities
US Census
via TIGER
• Existing, branded product
• Existing staffing resources for
nationwide data integration
• Expertise in nationwide data
assemblage
• Expertise in nationwide data
publishing
OpenStreetMap
Opportunity for
authoritative sources
to detect data
updates
Private Sector
Value Add
Products
State DOTs
Private Sector
Partnership
Engagement w/ County
or Regional Govts.
• States choose their own
methods
• Coordination with state E911
and NG911 efforts
• All roads
USDOT
Trans. Products
19
U.S. Department of Transportation
Research and Innovative Technology Administration
Examples of what have we heard so
far…
20
U.S. Department of Transportation
Research and Innovative Technology Administration
At the ESRI User Conference
 Short-term and long-term considerations
□ Short term: don’t forget several nationwide datasets currently exist
▪ TIGER
▪ Commercial
▪ OpenStreetMap
□ Longer term: design and build something new
 HPMS is not resourced to make a seamless nationwide data
set
□ Look at other “process models” too!
□ Public/private partnership
□ Build on TIGER
□ Volunteered Geographic Information (VGI)
□ Something “outside-the-box” that we have yet to imagine
21
U.S. Department of Transportation
Research and Innovative Technology Administration
At the NSGIC Annual Conference
 Develop a matrix of common requirements and approaches
– “what are the shared needs and commonalities?”
 Develop an inventory of what each state has for statewide
street centerlines
 Develop several success stories as 1-2 page fact sheets,
perhaps as “tiered” levels of success
 The Census Bureau considers itself to be a “Data
Integrator,” not a Data Producer per se; boundaries are the
“real issue” for Census Bureau, not roads; DOTs might
need greater detail
 Next Generation 911 is and will be a big driver for GIS-
based initiatives to build statewide street centerline data
sets to support automated routing
22
U.S. Department of Transportation
Research and Innovative Technology Administration
At the URISA GIS-Pro Conference
 Data Sharing is two way relationship
□ “Co-dependency” can lead to success
 Increased involvement in planning process from local government
stakeholders is desirable
 Public/Private Partnership: “knotty issues” of licensing will need to be
addressed.
□ 2004 study from National Academy of Science titled “Licensing of Geographic
Data and Services” could be a resource.
 Needs to be an emphasis on identifying what is in the core, common
base of TFTN (vs. special sauce).
□ US Census pointed to “Federal Survey” of 19 agencies that identified their
common needs as a starting place.
 Baseline data elements should not be complex; added complexity can
affect the success of the project
23
U.S. Department of Transportation
Research and Innovative Technology Administration
USGS Interview Takeaways
 Requirement for nationwide roads in The National Map
(TNM)
 TIGER did not meet TNM requirements
□ Positional accuracy
□ Depictions of interchanges and dual-carriageways
□ Attributes
□ Costs to retrofit TIGER were prohibitive
 Have currently replaced TIGER with TeleAtlas data
□ Competitive price, but restricted use
□ Looking at OpenStreetMap and other alternatives, long-term
 The National Hydrography Dataset (NHD) provides a
positive example of Federal-State collaboration
24
U.S. Department of Transportation
Research and Innovative Technology Administration
Census Bureau Interview Takeaways
 TIGER is a mature product
□ Many users depend on it for a variety of applications
▪ National broadband mapping (for Census geometry)
 Significant improvements in latest TIGER files
□ Positional accuracy improved (7.6 meter)
□ Substantial input from local sources incorporated
□ Research into potential for OpenStreetMap
 Planning for more frequent updates (depending on funding)
25
U.S. Department of Transportation
Research and Innovative Technology Administration
USFS Interview Takeaways
 USFS is a major road data manager with active road
mapping efforts
□ 370,000 total miles of roads
□ Regulatory requirement to produce a publicly available
“Transportation Atlas” covering “roads, trails and air fields”
 USFS has key attributes to identify “Closed roads” and
“Roads requiring high clearance vehicles”
 USFS has existing annual reporting relationship with US-
DOT/FHWA for 3500 bridges
 Depiction of USFS roads within TIGER is weak
 USFS has strong interest in and enthusiasm for TFTN
concept
□ “We want to be a contributor”
26
U.S. Department of Transportation
Research and Innovative Technology Administration
The Road Ahead
 More interviews, meetings, surveys, case studies, etc.
 Through these, we will:
□ Identify what’s working, what’s needed – current practices,
requirements, strategies, standards, documentation
□ Identify institutional constraints, capacity, operational authority,
motivation, benefits, etc.
□ Formulate strategies for implementation
□ Identify potential sources of funding
27
U.S. Department of Transportation
Research and Innovative Technology Administration
Steering Committee Input
 TFTN Minimum requirements vs. "add-ons" or special
sauce?
 What are the criteria to measure TFTN Strategic
Planning project success?
 What are your reactions to:
□ The HPMS model?
□ Using TIGER for TFTN?
□ Public/private partnerships for sharing transportation data?
□ Using VGI for TFTN?
28
U.S. Department of Transportation
Research and Innovative Technology Administration
Questions/Comments?
Steve Lewis
(202) 366-9223
steve.lewis@dot.gov
http://www.tftn.org
http://www.transportationresearch.gov/TFTN/default.aspx

Contenu connexe

Tendances

Tftn overview esri uc
Tftn overview esri ucTftn overview esri uc
Tftn overview esri ucKoniag
 
Update of Fairfax County's Transportation Priorities Plan (TPP)
Update of Fairfax County's Transportation Priorities Plan (TPP)Update of Fairfax County's Transportation Priorities Plan (TPP)
Update of Fairfax County's Transportation Priorities Plan (TPP)Fairfax County
 
Open Source Software in Public Transportation: A Case Study - TRB poster
Open Source Software in Public Transportation: A Case Study - TRB posterOpen Source Software in Public Transportation: A Case Study - TRB poster
Open Source Software in Public Transportation: A Case Study - TRB posterSean Barbeau
 
StevenABert_Project Experience
StevenABert_Project ExperienceStevenABert_Project Experience
StevenABert_Project ExperienceSteven Bert
 
NSGIC TFTN Workshop
NSGIC TFTN WorkshopNSGIC TFTN Workshop
NSGIC TFTN WorkshopKSI Koniag
 
Improving the quality and cost effectiveness of multimodal travel behavior da...
Improving the quality and cost effectiveness of multimodal travel behavior da...Improving the quality and cost effectiveness of multimodal travel behavior da...
Improving the quality and cost effectiveness of multimodal travel behavior da...Sean Barbeau
 
NSGIC Mid-Year Meeting
NSGIC Mid-Year MeetingNSGIC Mid-Year Meeting
NSGIC Mid-Year MeetingKSI Koniag
 
Grant Thornton: TxDOT Managament and Organizational Review
Grant Thornton: TxDOT Managament and Organizational ReviewGrant Thornton: TxDOT Managament and Organizational Review
Grant Thornton: TxDOT Managament and Organizational ReviewBob Lowery
 
Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010
Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010
Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010Koniag
 
Applying Safety Data and Analysis to Performance-based Transportation Planning
Applying Safety Data and Analysis to Performance-based Transportation PlanningApplying Safety Data and Analysis to Performance-based Transportation Planning
Applying Safety Data and Analysis to Performance-based Transportation PlanningRPO America
 
2014 ARTBA-TDF report
2014 ARTBA-TDF report2014 ARTBA-TDF report
2014 ARTBA-TDF reportartba
 
Terms of reference for a workshop on south-south cooperation
Terms of reference for a workshop on south-south cooperationTerms of reference for a workshop on south-south cooperation
Terms of reference for a workshop on south-south cooperationDr Lendy Spires
 
DPS and CPT eXplorer: connecting data & policy
DPS and CPT eXplorer: connecting data & policyDPS and CPT eXplorer: connecting data & policy
DPS and CPT eXplorer: connecting data & policycarloamati
 

Tendances (15)

Tftn overview esri uc
Tftn overview esri ucTftn overview esri uc
Tftn overview esri uc
 
Update of Fairfax County's Transportation Priorities Plan (TPP)
Update of Fairfax County's Transportation Priorities Plan (TPP)Update of Fairfax County's Transportation Priorities Plan (TPP)
Update of Fairfax County's Transportation Priorities Plan (TPP)
 
Open Source Software in Public Transportation: A Case Study - TRB poster
Open Source Software in Public Transportation: A Case Study - TRB posterOpen Source Software in Public Transportation: A Case Study - TRB poster
Open Source Software in Public Transportation: A Case Study - TRB poster
 
StevenABert_Project Experience
StevenABert_Project ExperienceStevenABert_Project Experience
StevenABert_Project Experience
 
NSGIC TFTN Workshop
NSGIC TFTN WorkshopNSGIC TFTN Workshop
NSGIC TFTN Workshop
 
Improving the quality and cost effectiveness of multimodal travel behavior da...
Improving the quality and cost effectiveness of multimodal travel behavior da...Improving the quality and cost effectiveness of multimodal travel behavior da...
Improving the quality and cost effectiveness of multimodal travel behavior da...
 
NSGIC Mid-Year Meeting
NSGIC Mid-Year MeetingNSGIC Mid-Year Meeting
NSGIC Mid-Year Meeting
 
Grant Thornton: TxDOT Managament and Organizational Review
Grant Thornton: TxDOT Managament and Organizational ReviewGrant Thornton: TxDOT Managament and Organizational Review
Grant Thornton: TxDOT Managament and Organizational Review
 
Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010
Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010
Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010
 
Applying Safety Data and Analysis to Performance-based Transportation Planning
Applying Safety Data and Analysis to Performance-based Transportation PlanningApplying Safety Data and Analysis to Performance-based Transportation Planning
Applying Safety Data and Analysis to Performance-based Transportation Planning
 
2014 ARTBA-TDF report
2014 ARTBA-TDF report2014 ARTBA-TDF report
2014 ARTBA-TDF report
 
Terms of reference for a workshop on south-south cooperation
Terms of reference for a workshop on south-south cooperationTerms of reference for a workshop on south-south cooperation
Terms of reference for a workshop on south-south cooperation
 
Virginia
VirginiaVirginia
Virginia
 
DPS and CPT eXplorer: connecting data & policy
DPS and CPT eXplorer: connecting data & policyDPS and CPT eXplorer: connecting data & policy
DPS and CPT eXplorer: connecting data & policy
 
NCompass Live: Accessing Census Data
NCompass Live: Accessing Census Data NCompass Live: Accessing Census Data
NCompass Live: Accessing Census Data
 

Similaire à November Committee at Large Meeting

Narc tftn overview_v1
Narc tftn overview_v1Narc tftn overview_v1
Narc tftn overview_v1KSI Koniag
 
Lewis tftn fgdccg_08102010
Lewis tftn fgdccg_08102010Lewis tftn fgdccg_08102010
Lewis tftn fgdccg_08102010KSI Koniag
 
Tftn overview gis dot
Tftn overview gis dotTftn overview gis dot
Tftn overview gis dotKSI Koniag
 
Nsgic annual status_briefing v0.2
Nsgic annual status_briefing v0.2Nsgic annual status_briefing v0.2
Nsgic annual status_briefing v0.2KSI Koniag
 
Lewis TFTN FGDC
Lewis TFTN FGDCLewis TFTN FGDC
Lewis TFTN FGDCKSI Koniag
 
Lewis tftn ngac_09232010
Lewis tftn ngac_09232010Lewis tftn ngac_09232010
Lewis tftn ngac_09232010KSI Koniag
 
Team overview gist april 2010
Team overview gist april 2010Team overview gist april 2010
Team overview gist april 2010KSI Koniag
 
Tftn overview esri uc
Tftn overview esri ucTftn overview esri uc
Tftn overview esri ucKSI Koniag
 
Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010
Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010
Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010KSI Koniag
 
Overview oftransportationforthenation v4
Overview oftransportationforthenation v4Overview oftransportationforthenation v4
Overview oftransportationforthenation v4Koniag
 
James Wong - Open data in transport, St.Petersburg
James Wong - Open data in transport, St.PetersburgJames Wong - Open data in transport, St.Petersburg
James Wong - Open data in transport, St.PetersburgOpen City Foundation
 
Tftn findings to date esri uc
Tftn findings to date esri ucTftn findings to date esri uc
Tftn findings to date esri ucKSI Koniag
 
Tftn findings to date esri uc
Tftn findings to date esri ucTftn findings to date esri uc
Tftn findings to date esri ucKSI Koniag
 
TFTN Executive Steering Committee (10-20-2010)
TFTN Executive Steering Committee (10-20-2010)TFTN Executive Steering Committee (10-20-2010)
TFTN Executive Steering Committee (10-20-2010)KSI Koniag
 
fhwa_all_public_road_geospatial_representative_study
fhwa_all_public_road_geospatial_representative_studyfhwa_all_public_road_geospatial_representative_study
fhwa_all_public_road_geospatial_representative_studyJohn Formby
 
9/8 THUR 14:30 | TOD Toolbox :Regional & Statewide Coord. Efforts
9/8 THUR 14:30 | TOD Toolbox :Regional & Statewide Coord. Efforts9/8 THUR 14:30 | TOD Toolbox :Regional & Statewide Coord. Efforts
9/8 THUR 14:30 | TOD Toolbox :Regional & Statewide Coord. EffortsAPA Florida
 
Open Transit Data - A Developer's Perspective
Open Transit Data - A Developer's PerspectiveOpen Transit Data - A Developer's Perspective
Open Transit Data - A Developer's PerspectiveSean Barbeau
 

Similaire à November Committee at Large Meeting (20)

Narc tftn overview_v1
Narc tftn overview_v1Narc tftn overview_v1
Narc tftn overview_v1
 
Lewis tftn fgdccg_08102010
Lewis tftn fgdccg_08102010Lewis tftn fgdccg_08102010
Lewis tftn fgdccg_08102010
 
Tftn overview gis dot
Tftn overview gis dotTftn overview gis dot
Tftn overview gis dot
 
Nsgic annual status_briefing v0.2
Nsgic annual status_briefing v0.2Nsgic annual status_briefing v0.2
Nsgic annual status_briefing v0.2
 
Lewis TFTN FGDC
Lewis TFTN FGDCLewis TFTN FGDC
Lewis TFTN FGDC
 
Lewis tftn ngac_09232010
Lewis tftn ngac_09232010Lewis tftn ngac_09232010
Lewis tftn ngac_09232010
 
Team overview gist april 2010
Team overview gist april 2010Team overview gist april 2010
Team overview gist april 2010
 
Tftn overview esri uc
Tftn overview esri ucTftn overview esri uc
Tftn overview esri uc
 
Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010
Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010
Nsgic mid year_strategic_plannning_for_tftn_presentation_march_2010
 
Grid Un-Locked - Week 2
Grid Un-Locked - Week 2Grid Un-Locked - Week 2
Grid Un-Locked - Week 2
 
Overview oftransportationforthenation v4
Overview oftransportationforthenation v4Overview oftransportationforthenation v4
Overview oftransportationforthenation v4
 
James Wong - Open data in transport, St.Petersburg
James Wong - Open data in transport, St.PetersburgJames Wong - Open data in transport, St.Petersburg
James Wong - Open data in transport, St.Petersburg
 
Tftn findings to date esri uc
Tftn findings to date esri ucTftn findings to date esri uc
Tftn findings to date esri uc
 
Tftn findings to date esri uc
Tftn findings to date esri ucTftn findings to date esri uc
Tftn findings to date esri uc
 
TFTN Executive Steering Committee (10-20-2010)
TFTN Executive Steering Committee (10-20-2010)TFTN Executive Steering Committee (10-20-2010)
TFTN Executive Steering Committee (10-20-2010)
 
fhwa_all_public_road_geospatial_representative_study
fhwa_all_public_road_geospatial_representative_studyfhwa_all_public_road_geospatial_representative_study
fhwa_all_public_road_geospatial_representative_study
 
Washington
WashingtonWashington
Washington
 
Wa final
Wa finalWa final
Wa final
 
9/8 THUR 14:30 | TOD Toolbox :Regional & Statewide Coord. Efforts
9/8 THUR 14:30 | TOD Toolbox :Regional & Statewide Coord. Efforts9/8 THUR 14:30 | TOD Toolbox :Regional & Statewide Coord. Efforts
9/8 THUR 14:30 | TOD Toolbox :Regional & Statewide Coord. Efforts
 
Open Transit Data - A Developer's Perspective
Open Transit Data - A Developer's PerspectiveOpen Transit Data - A Developer's Perspective
Open Transit Data - A Developer's Perspective
 

Plus de KSI Koniag

TFTN Strategic Plan Final Draft
TFTN Strategic Plan Final DraftTFTN Strategic Plan Final Draft
TFTN Strategic Plan Final DraftKSI Koniag
 
November Committee at Large Notes
November Committee at Large NotesNovember Committee at Large Notes
November Committee at Large NotesKSI Koniag
 
GIS-T Notes Public
GIS-T Notes PublicGIS-T Notes Public
GIS-T Notes PublicKSI Koniag
 
ESRI UC Public
ESRI UC PublicESRI UC Public
ESRI UC PublicKSI Koniag
 
Agenda Executive Steering Committee Notes
Agenda Executive Steering Committee NotesAgenda Executive Steering Committee Notes
Agenda Executive Steering Committee NotesKSI Koniag
 
Nsgic annual 2010 findings
Nsgic annual 2010 findingsNsgic annual 2010 findings
Nsgic annual 2010 findingsKSI Koniag
 
Interview trends
Interview trendsInterview trends
Interview trendsKSI Koniag
 
GIS-T April 2010 findings
GIS-T April 2010 findingsGIS-T April 2010 findings
GIS-T April 2010 findingsKSI Koniag
 
GIS-Pro September 2010 findings
GIS-Pro September  2010 findingsGIS-Pro September  2010 findings
GIS-Pro September 2010 findingsKSI Koniag
 
Federal roads mtg trans survey-results 9
Federal roads mtg  trans survey-results 9Federal roads mtg  trans survey-results 9
Federal roads mtg trans survey-results 9KSI Koniag
 
Spatial igniteorlando tftn_in5min
Spatial igniteorlando tftn_in5minSpatial igniteorlando tftn_in5min
Spatial igniteorlando tftn_in5minKSI Koniag
 
2.3 blackstone tfn panel
2.3 blackstone tfn panel2.3 blackstone tfn panel
2.3 blackstone tfn panelKSI Koniag
 
2.3 mel seigler virginia panelpresentation
2.3 mel seigler virginia panelpresentation2.3 mel seigler virginia panelpresentation
2.3 mel seigler virginia panelpresentationKSI Koniag
 
2.2 navteq tftn presentation skip parker
2.2 navteq tftn presentation skip parker2.2 navteq tftn presentation skip parker
2.2 navteq tftn presentation skip parkerKSI Koniag
 
1.4 widner panel presentation
1.4 widner panel presentation1.4 widner panel presentation
1.4 widner panel presentationKSI Koniag
 

Plus de KSI Koniag (20)

TFTN Strategic Plan Final Draft
TFTN Strategic Plan Final DraftTFTN Strategic Plan Final Draft
TFTN Strategic Plan Final Draft
 
Ohio final
Ohio finalOhio final
Ohio final
 
Michigan
Michigan Michigan
Michigan
 
I-95 Corridor
I-95 CorridorI-95 Corridor
I-95 Corridor
 
Kentucky
KentuckyKentucky
Kentucky
 
New York
New YorkNew York
New York
 
November Committee at Large Notes
November Committee at Large NotesNovember Committee at Large Notes
November Committee at Large Notes
 
GIS-T Notes Public
GIS-T Notes PublicGIS-T Notes Public
GIS-T Notes Public
 
ESRI UC Public
ESRI UC PublicESRI UC Public
ESRI UC Public
 
Agenda Executive Steering Committee Notes
Agenda Executive Steering Committee NotesAgenda Executive Steering Committee Notes
Agenda Executive Steering Committee Notes
 
Nsgic annual 2010 findings
Nsgic annual 2010 findingsNsgic annual 2010 findings
Nsgic annual 2010 findings
 
Interview trends
Interview trendsInterview trends
Interview trends
 
GIS-T April 2010 findings
GIS-T April 2010 findingsGIS-T April 2010 findings
GIS-T April 2010 findings
 
GIS-Pro September 2010 findings
GIS-Pro September  2010 findingsGIS-Pro September  2010 findings
GIS-Pro September 2010 findings
 
Federal roads mtg trans survey-results 9
Federal roads mtg  trans survey-results 9Federal roads mtg  trans survey-results 9
Federal roads mtg trans survey-results 9
 
Spatial igniteorlando tftn_in5min
Spatial igniteorlando tftn_in5minSpatial igniteorlando tftn_in5min
Spatial igniteorlando tftn_in5min
 
2.3 blackstone tfn panel
2.3 blackstone tfn panel2.3 blackstone tfn panel
2.3 blackstone tfn panel
 
2.3 mel seigler virginia panelpresentation
2.3 mel seigler virginia panelpresentation2.3 mel seigler virginia panelpresentation
2.3 mel seigler virginia panelpresentation
 
2.2 navteq tftn presentation skip parker
2.2 navteq tftn presentation skip parker2.2 navteq tftn presentation skip parker
2.2 navteq tftn presentation skip parker
 
1.4 widner panel presentation
1.4 widner panel presentation1.4 widner panel presentation
1.4 widner panel presentation
 

Dernier

DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 

Dernier (20)

DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 

November Committee at Large Meeting

  • 1. Strategic Planning for Transportation for the Nation (TFTN) Steve Lewis Geospatial Information Officer, USDOT Director, Office of Geospatial Information Systems, USDOT/RITA/BTS November 10, 2010
  • 2. Steering Committee Roles and Responsibilities “At Large” Steering Committee Participate in periodic teleconferences and webinars Listen and advise during the planning process Option to receive and review all documents Prepare to adopt the resulting plan as a product in some fashion Executive Steering Committee Same as members of the at-large group, plus Document review and feedback Sounding board on difficult issues or questions Adjudicating differences of opinion coming from different stakeholders Support in gathering input and promoting the planning process
  • 3. 3 U.S. Department of Transportation Research and Innovative Technology Administration Background Influenced by several different efforts:  In 2008, an “issues brief” by NSGIC called for the creation of TFTN  OMB Circular A-16 identifies the USDOT as the “lead agency” for the “transportation theme” of the National Spatial Data Infrastructure (NSDI).  Emerging USDOT data requirements for geospatial data for all roads, such as accident reporting for enhanced safety and bridge inventory.  Aligned with several initiatives such the emerging federal Geospatial Platform concept. - one element of the “geospatial portfolio”
  • 4. 4 U.S. Department of Transportation Research and Innovative Technology Administration TFTN Concept “Creation and maintenance of high-quality, nationwide transportation data that is in the public domain” □ An initial focus on street centerlines, but eventually multi-modal □ Nationwide data spanning all states and territories □ All roads, not just Federally funded roads □ Provides a common geometric baseline ▪ Road naming ▪ Persistent segment ID numbering ▪ Advanced functionality is built on top of baseline □ Data is in the public domain and readily shareable
  • 5. 5 U.S. Department of Transportation Research and Innovative Technology Administration
  • 6. 6 U.S. Department of Transportation Research and Innovative Technology Administration Strategic Planning Effort - History RITA/BTS agreed to fund and manage the effort Funds obligated and contractor selected in October 2009 □ Koniag Technology Solutions □ Applied Geographics Suffered through many contracting glitches associated with “end-of-year” money Contract finally awarded in March 2010
  • 7. 7 U.S. Department of Transportation Research and Innovative Technology Administration Strategic Planning Effort – The Process Identify and engage stakeholders Define requirements, challenges and opportunities Document progress already made □ Existing Datasets □ Best Practices □ New Ideas Explore implementation issues Evaluate funding sources
  • 8. 8 U.S. Department of Transportation Research and Innovative Technology Administration Stakeholder Outreach
  • 9. 9 U.S. Department of Transportation Research and Innovative Technology Administration Stakeholder Outreach - Presentations & Workshops
  • 10. 10 U.S. Department of Transportation Research and Innovative Technology Administration Stakeholder Outreach - Interviews • Safety • Highway Performance Management System • Intelligent Transportation Systems • Asset Management • Deputy Director of RITA
  • 11. 11 U.S. Department of Transportation Research and Innovative Technology Administration Trends
  • 12. 12 U.S. Department of Transportation Research and Innovative Technology Administration Trends from the Workshops and Interviews  Near Unanimous Support □ All of those interviewed and most of those who attended the workshops have indicated their support for this effort  Learned of a number of similar efforts underway that benefit from TFTN  Safety could be a key to the success of TFTN □ A geospatial representation of ALL ROADS is needed to meet many of the USDOTs Safety Initiatives □ A geospatial representation of ALL ROADS is needed for emergency response □ Lots of federal money for safety initiatives
  • 13. 13 U.S. Department of Transportation Research and Innovative Technology Administration Trends from the Workshops and Interviews  “Think Regionally Act Locally” □ States and counties are beginning to look beyond their borders □ States and counties are the authoritative data source for their transportation data  “Can you live with that?” □ The Stakeholders have different needs □ Need to find a baseline that works with everyone □ Once the baseline is established, the consumers can add their own “special sauce”
  • 14. 14 U.S. Department of Transportation Research and Innovative Technology Administration Baseline Geometry with “Special Sauce”  The specifics of what’s included in “baseline geometry” requires further definition  Initial, minimal components might be: □ Road naming □ Basic attributes (e.g. functional classification) □ Persistent segment ID numbering  Seeking additional ideas and input from stakeholders on what’s feasible  “Special sauce” can be content and/or capabilities
  • 15. 15 U.S. Department of Transportation Research and Innovative Technology Administration Variety of stakeholders adds their own “special sauce” on top •TFTN: Common baseline foundation of geometry, basic attributes •State DOTs: Linear Referencing System (LRS) •State DOTs: advanced attributes •Private Sector: full routability and immersive imagery •USGS: Enhanced cartographic display and labeling •US Census: Polygon topology for census geographic units •State E911: Addresses
  • 16. 16 U.S. Department of Transportation Research and Innovative Technology Administration A Potential Model for TFTN - HPMS  FHWA reporting requirements for the Highway Performance Monitoring System (HPMS) include the submission of a geospatial network of all Federal-aid roads by each State DOT  Current reporting requirements for the HPMS could be expanded to require all roads □ Detailed HPMS attributes would continue to be provided for only Federal-aid roads □ Annual nature of HPMS reporting provides a data update mechanism □ USDOT works with states to develop basic standards □ Reporting requirement would enable states to utilize FHWA funding for creation and maintenance of inventory
  • 17. 17 U.S. Department of Transportation Research and Innovative Technology Administration Obstacles Associated With This Model  FHWA has to change the HPMS Reporting Requirements to include all roads in the geospatial submission  States are not required to work with neighbors for connectivity  No USDOT resources currently available for aggregation, assembly and publication of a nationwide data set  The level of quality/accuracy varies from State to State
  • 18. 18 U.S. Department of Transportation Research and Innovative Technology Administration Potential Vision for TFTN ProduceCatalyze & Standardize Aggregate & Publish USDOT via HPMS • HPMS annual reporting requirement • Opens funding • Develops standards • Products support broader US-DOT business needs, such as Safety • Ability to provide funding support to local entities US Census via TIGER • Existing, branded product • Existing staffing resources for nationwide data integration • Expertise in nationwide data assemblage • Expertise in nationwide data publishing OpenStreetMap Opportunity for authoritative sources to detect data updates Private Sector Value Add Products State DOTs Private Sector Partnership Engagement w/ County or Regional Govts. • States choose their own methods • Coordination with state E911 and NG911 efforts • All roads USDOT Trans. Products
  • 19. 19 U.S. Department of Transportation Research and Innovative Technology Administration Examples of what have we heard so far…
  • 20. 20 U.S. Department of Transportation Research and Innovative Technology Administration At the ESRI User Conference  Short-term and long-term considerations □ Short term: don’t forget several nationwide datasets currently exist ▪ TIGER ▪ Commercial ▪ OpenStreetMap □ Longer term: design and build something new  HPMS is not resourced to make a seamless nationwide data set □ Look at other “process models” too! □ Public/private partnership □ Build on TIGER □ Volunteered Geographic Information (VGI) □ Something “outside-the-box” that we have yet to imagine
  • 21. 21 U.S. Department of Transportation Research and Innovative Technology Administration At the NSGIC Annual Conference  Develop a matrix of common requirements and approaches – “what are the shared needs and commonalities?”  Develop an inventory of what each state has for statewide street centerlines  Develop several success stories as 1-2 page fact sheets, perhaps as “tiered” levels of success  The Census Bureau considers itself to be a “Data Integrator,” not a Data Producer per se; boundaries are the “real issue” for Census Bureau, not roads; DOTs might need greater detail  Next Generation 911 is and will be a big driver for GIS- based initiatives to build statewide street centerline data sets to support automated routing
  • 22. 22 U.S. Department of Transportation Research and Innovative Technology Administration At the URISA GIS-Pro Conference  Data Sharing is two way relationship □ “Co-dependency” can lead to success  Increased involvement in planning process from local government stakeholders is desirable  Public/Private Partnership: “knotty issues” of licensing will need to be addressed. □ 2004 study from National Academy of Science titled “Licensing of Geographic Data and Services” could be a resource.  Needs to be an emphasis on identifying what is in the core, common base of TFTN (vs. special sauce). □ US Census pointed to “Federal Survey” of 19 agencies that identified their common needs as a starting place.  Baseline data elements should not be complex; added complexity can affect the success of the project
  • 23. 23 U.S. Department of Transportation Research and Innovative Technology Administration USGS Interview Takeaways  Requirement for nationwide roads in The National Map (TNM)  TIGER did not meet TNM requirements □ Positional accuracy □ Depictions of interchanges and dual-carriageways □ Attributes □ Costs to retrofit TIGER were prohibitive  Have currently replaced TIGER with TeleAtlas data □ Competitive price, but restricted use □ Looking at OpenStreetMap and other alternatives, long-term  The National Hydrography Dataset (NHD) provides a positive example of Federal-State collaboration
  • 24. 24 U.S. Department of Transportation Research and Innovative Technology Administration Census Bureau Interview Takeaways  TIGER is a mature product □ Many users depend on it for a variety of applications ▪ National broadband mapping (for Census geometry)  Significant improvements in latest TIGER files □ Positional accuracy improved (7.6 meter) □ Substantial input from local sources incorporated □ Research into potential for OpenStreetMap  Planning for more frequent updates (depending on funding)
  • 25. 25 U.S. Department of Transportation Research and Innovative Technology Administration USFS Interview Takeaways  USFS is a major road data manager with active road mapping efforts □ 370,000 total miles of roads □ Regulatory requirement to produce a publicly available “Transportation Atlas” covering “roads, trails and air fields”  USFS has key attributes to identify “Closed roads” and “Roads requiring high clearance vehicles”  USFS has existing annual reporting relationship with US- DOT/FHWA for 3500 bridges  Depiction of USFS roads within TIGER is weak  USFS has strong interest in and enthusiasm for TFTN concept □ “We want to be a contributor”
  • 26. 26 U.S. Department of Transportation Research and Innovative Technology Administration The Road Ahead  More interviews, meetings, surveys, case studies, etc.  Through these, we will: □ Identify what’s working, what’s needed – current practices, requirements, strategies, standards, documentation □ Identify institutional constraints, capacity, operational authority, motivation, benefits, etc. □ Formulate strategies for implementation □ Identify potential sources of funding
  • 27. 27 U.S. Department of Transportation Research and Innovative Technology Administration Steering Committee Input  TFTN Minimum requirements vs. "add-ons" or special sauce?  What are the criteria to measure TFTN Strategic Planning project success?  What are your reactions to: □ The HPMS model? □ Using TIGER for TFTN? □ Public/private partnerships for sharing transportation data? □ Using VGI for TFTN?
  • 28. 28 U.S. Department of Transportation Research and Innovative Technology Administration Questions/Comments? Steve Lewis (202) 366-9223 steve.lewis@dot.gov http://www.tftn.org http://www.transportationresearch.gov/TFTN/default.aspx

Notes de l'éditeur

  1. Identify and engage stakeholders -All levels of government -Private Sector -Citizens (e.g. OpenStreetMap community)