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- Paul Pisano, FHWA
- Gabe Guevara, FHWA
- Mike Chapman, National Center for Atmospheric Research
- July 27, 2011
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- Purpose
- Provide an update on USDOT efforts to build the link between the
Connected Vehicle and Road Weather Management
- Agenda
- Introduction to Road Weather Management and how it relates to connected
vehicles
Paul Pisano, FHWA
- "Integrating Mobile Observations" project overview
Gabriel Guevara, FHWA
- The Vehicle Data Translator and related applications
Michael Chapman, National Center for Atmospheric Research
- Discussion
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- Trucking delays due to weather = $3.1billion/yr for the 50 largest
cities
- Lost commerce due to snow
closures = $10billion/day
- More than $2billion/yr is spent on snow and
ice control by State DOTs
- Weather accounts for 25% of
non-recurring congestion
- Chemicals affect watersheds, air quality and infrastructure
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- Goal – Improve mobility and safety by alleviating the impacts of weather
on the surface transportation system
- “Anytime, Anywhere Road Weather Information” is the program’s mission
- This includes current and predicted information about weather’s affect
on roads…
- … and the decision support tools to aid road users and operators to
make effective decisions, e.g.,
- When to pre-treat roads for snow & ice control
- When to post traveler advisories (fog, floods, rain, snow, etc.)
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- Program Vision
- To research and facilitate a national, multimodal surface
transportation system that features a connected transportation
environment around vehicles of all types, the infrastructure, and
portable devices to serve the public good by leveraging technology to
maximize safety, mobility, and environmental performance.
- Plan developed with full participation by all surface
- transportation modal administrations as well as with
- significant interaction with multi-modal stakeholders.
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- Obtain a thorough picture of current weather and road conditions by
including mobile sources
- Higher resolution observations that spatially augment fixed sensors
- Take advantage of existing standards and on-board sensors
- Improve weather-related decision support tools to mitigate safety and
mobility impacts of weather
- Based on ability to better detect and forecast road weather and
pavement conditions
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- Noblis conducted two analyses along the Dulles Toll Road (2006)
- Exploratory look at mobile observing
- National Center for Atmospheric Research (NCAR) was tasked to develop
the Vehicle Data Translator (VDT)
- Feasibility study (2007)
- VDT Ver1.0 completed in July, 2009
- VDT Ver2.0 completed in July, 2010
- VDT Ver3.0 development underway
- Development Test Environment in Detroit
- Source of most of the probe data for the VDT development
- New work will use data from State DOTs, NCAR
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- Next Road Weather Management Stakeholder Coordination Meeting:
- September 7-9
- Albuquerque, NM
- Let me know if you want to be added to our contact list
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- Paul Pisano, Team Leader Dale Thompson
- FHWA Office of Operations USDOT RITA, JPO
- 202-366-1301 202-366-4876
- Roemer Alfelor C.Y. David Yang
- FHWA Office of Operations FHWA Off. of Operations R&D
- 202-366-9242 202-493-3284
- Gabriel Guevara Ray Murphy
- FHWA Office of Operations FHWA Resource Center (IL)
- 202-366-0754 708-283-3517
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- Background on the Integrating Mobile Observations (IMO) Project
- Partnering States
- Current Status
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- NCAR requested expressions of interest last fall (2010)
- Scope of Work
- Funding assistance / Grant
- Pooled Funds and Consortia were targeted: Aurora, Connected Vehicles,
Clear Roads, MDSS
- A handful of states expressed interest:
- Idaho
- Minnesota
- Nevada
- South Dakota
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- Selection based on:
- Fleet
- Maturity of the maintenance ITS program
- Integration of mobile obs into state’s
application – MMS, MDSS, MODSS, TIS….
- Other factors/synergies (multi-state, corridor, etc.)
- Willingness to make data and lessons learned widely available /open
source
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- Why
- Mature AVL/MDSS program
- Relatively new fleet
- Strong upper management support
- Strong workplan
- Significant # of vehicles fitted for the test
- Proposed integration with MDSS, MMS, TIS
- Ability to collect desired data parameters (from CAN-Bus and add-on
sensors)
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- Project Team:
- Champion: Steve Lund
- Project Manager: Curt Pape
- Consultant: Ameritrak, LLC
- NCAR: Dr. Sheldon Drobot & Mike Chapman, Brice Lambi
- FHWA: Paul Pisano & Gabe
Guevara
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- Ameritrak is the AVL provider; has already developed and tested the
prototype system:
- Mounting brackets
- Wiring harnesses
- Mobile Computing Device
- AVL/GPS
- CAN-Bus Interface
- Interface with external sensors, etc…
- MN uses Cellular as its communication platform
- By October, 2011: 140-160 Snowplow vehicles collecting and sending data
to:
- NCAR
- Clarus
- Prototype Data Environment - DCM
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- Why
- Actively pursuing an AVL/MDSS program
- Fleet adds variety to the study (different manufacturer)
- Strong upper management support
- Strong proposal
- Potential corridor-wide participation (I-80 corridor)
- Strong partnership with academia (Univ. Nevada-Reno)
- Proposed integration with MDSS, MMS, TIS
- Ability to collect desired data parameters (from CAN-Bus and add-on
sensors)
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- Project Team
- Champion: Rick Nelson
- Project Manager: Denise Inda
- Consultant: University of Nevada Reno
- Dr. Jeff LaCombe
- Dr. Eric Wang
- NCAR: Dr. Sheldon Drobot & Mike Chapman, Brice Lambi
- FHWA: Paul Pisano & Gabe
Guevara
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- General Data
- GPS Date, time, location, bearing, speed, altitude, accuracy
- Road Conditions
- Road surface temperature
- Vehicle accelerations (surface friction)
- Road condition images (camera)
- Atmospheric Conditions
- Pressure, temperature, relative humidity, dew point
- Wind speed and direction
- Vehicle & Equipment Data
- Speed, brake status, engine intake air temperature & pressure
- Spreader and plow status
- Steering, traction control, ABS, yaw, accelerations, emissions data,
engine data, headlight and wiper status
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- This project will be completed April 2012
- Interim update will be given at
the Road Weather Management
Stakeholder Meeting in September
- Further refinements to the VDT
- Follow-on work with these or other states
- Refinement of Standards and communication protocols
- Work with the OEM’s to be able to access the metadata for the parameter ID’s
- Continue to cooperate with the Connected-Vehicle efforts, i.e., feed
data into Clarus, the Research Development Environment, and collaborate
with appropriate Dynamic Mobility efforts.
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