steve beningo rural intelligent transportation systems specialist midwestern resource center
DESCRIPTION
T HE FHWA P ROGRAM FOR P ROTOTYPING A DVANCED D ECISION S UPPORT FOR W INTER R OAD M AINTENANCE. Steve Beningo Rural Intelligent Transportation Systems Specialist Midwestern Resource Center Federal Highway Administration. Maintenance Decision Support System Objective. - PowerPoint PPT PresentationTRANSCRIPT
THE FHWA PROGRAM FOR PROTOTYPING ADVANCED DECISION SUPPORT FOR
WINTER ROAD MAINTENANCE
Steve Beningo
Rural Intelligent Transportation
Systems Specialist
Midwestern Resource CenterFederal 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.
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FORECASTS
SENSORS
OBSER-VATIONS
EXPERIENCE
SALT USAGE
CONSTITUENTSMATERIALS
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 Defense (DOD):
The Army Cold Regions Research and Engineering Lab (CRREL)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
GoalTo 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
GoalTo 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
PrototypeDevelopment
9/00 9/01
Field Test& Evaluation
7/03
Deployment
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 NeedsMicro-Scale Warning
• 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 NeedsMeso/Synoptic Operational
• 2.1 Monitor Conditions• 2.2 Prepare• 2.3 Select Strategy• 2.4 Assign Crews• 2.5 Prepare Equipment
Examples of NeedsMeso/Synoptic Operational
• 2.6 Activate Staff• 2.7 Initial Dispatching • 2.8 Contracting• 2.9 Mid-Storm Management• 2.10 Cleanup
Examples of NeedsSynoptic/Climatic
Planning
• 3.1 Devise Response Plan• 3.2 Hire Staff• 3.3 Train Staff• 3.4 Buy Equipment/Services
Examples of NeedsSynoptic/Climatic
Planning
• 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
• 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
• 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