Transcript Highway Weather Information Needs & Requirements

THE FHWA PROGRAM FOR
PROTOTYPING ADVANCED
DECISION SUPPORT FOR
WINTER ROAD MAINTENANCE
Steve Beningo
Rural Intelligent Transportation
Systems Specialist
Midwestern Resource Center
Federal Highway Administration
Maintenance Decision
Support System Objective
The objective of the Maintenance
Decision Support System (MDSS)
project is to produce a prototype
tool for decision support to winter
road maintenance managers.
SENSORS
SALT USAGE
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OBSERVATIONS
FORECASTS
MATERIALS
CONSTITUENTS
EXPERIENCE
The Maintenance Decision
Support System
• Will be based on leading diagnostic
and prognostic research systems of
weather and road behavior.
• Will be non-proprietary, thus the
intellectual content contained in the
MDSS prototype will be available for
Federal and private applications.
Maintenance Decision
Support System Prototype
Developers
National
Oceanic and
Atmospheric
Administration
(NOAA):
Environmental Technology Lab (ETL)
Forecast System Lab (FSL)
National Severe Storm Lab (NSSL)
Department of The Army Cold Regions Research and
Defense
Engineering Lab (CRREL)
(DOD):
The Air Force MIT/Lincoln Lab
(MIT/LL)
University
consortium:
The National Center for Atmospheric
Research (NCAR)
Maintenance Decision
Support System Approach
• Employ National Labs to develop
prototype modules
– Iterative development with users and
system deployers
– Based on open systems principles
• Field test
Maintenance Decision
Support System Project
Goal
To develop a prototype capability that:
• Capitalizes on existing road and weather
sources.
• Augments data sources where they are
weak.
• Fuses data to make an open, integrated
and understandable presentation of
current environmental and road
conditions.
• Generates diagnostic and prognostic
maps of road conditions.
Maintenance Decision
Support System Project
Goal
To develop a prototype capability that:
• Provides a display capability on the state of
the roadway.
• Provides a decision support tool, which
provides recommendations on road
maintenance courses of action.
• Uses a single platform, with simple and
intuitive operating requirements.
• Provides a readily comprehensible display
of results and recommended courses of
action.
Development Schedule
• FY 2001 – The Federal Highway
Administration works with State
Departments of Transportation and the
private sector on the development of a
prototype Maintenance Decision Support
System.
• FY 2002 and FY 2003 – Demonstration and
evaluation of selected components of the
prototype in one or more operational
systems.
Development Schedule
Prototype
Development
9/00
Field Test
& Evaluation
9/01
Deployment
7/03
Decision Support Needs
• Covered all surface transportation
decision makers
• Defined 426 needs
– Across 44 decision maker categories
– Across 3 scales: planning, operational,
and warning
Examples of Needs
Micro-Scale
Warning
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1.1 Control Spreader Application
1.2 Control Plow
1.3 Control Static (Bridge) Deicer
1.4 Observe/Report
1.5 Navigate Spreader/Plow Truck
Examples of Needs
Meso/Synoptic
Operational
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2.1 Monitor Conditions
2.2 Prepare
2.3 Select Strategy
2.4 Assign Crews
2.5 Prepare Equipment
Examples of Needs
Meso/Synoptic
Operational
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2.6 Activate Staff
2.7 Initial Dispatching
2.8 Contracting
2.9 Mid-Storm Management
2.10 Cleanup
Examples of Needs
Synoptic/Climatic
Planning
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3.1 Devise Response Plan
3.2 Hire Staff
3.3 Train Staff
3.4 Buy Equipment/Services
Examples of Needs
Synoptic/Climatic
Planning
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3.5 Stock Stores
3.6 Budget
3.7 Schedule Seasonal Tasks
3.8 Calibrate Treatment Controls
Important Environmental
Factors
• Event Definition – start and stop times
• Precipitation Characteristics - type,
amount, and rate
• Road Condition – temperature, chemical
concentration, coverage by liquid phases)
• Snow Status – depth on road and drift
patterns
• Risk – Confidence and/or probabilities
associated with the data elements.
Conceptual System
Structure
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•
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•
Weather Data
Advanced Weather Capabilities
Road Condition Module
Decision Support Logic
Display
Weather Data
• Standard Data Sources – such as
National Weather Service data.
• Nonstandard Data Sources – such as
road weather sensor data, video
images, and advanced numerical
forecast model output.
• Surface data will be critical for the
system.
Advanced Weather
Capabilities
• Precipitation-Type Algorithms
• Weather Condition Diagnosis from
Video Cameras
• Data Fusion Algorithms and
Advanced Forecasting Technologies
Road Condition Module
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Road Temperature Algorithm
Road Surface Friction Algorithm
Road Chemical Concentration
Snow Drift Algorithm
Decision Support Logic
• Integrates environmental, road
condition and State Department of
Transportation operations data.
• Rules of Practice Algorithms – Will
suggest courses of action based on
predicated conditions, and the
potential consequences of inaction.
Display
• ArcView will be used for the
prototype.
• ArcView is a commercial desktop
GIS system developed by the
Environmental Systems Research
Institute (ESRI).
• ArcView can display point or grid
data, and numerous map data sets.
References & Contacts
• All documents are posted on the
Electronic Document Library
http://www.its.dot.gov/welcome.htm
• To participate in the Maintenance
Decision Support System contact:
– Rudy Persaud – 202-493-3391
[email protected]
– Gary Nelson – 202-488-5718
[email protected]