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- FHWA Road Weather Management Program
- Contract: DTFH61-06-D00006, Task
Order 2
- Initial study conducted from August 2007 - June 2009
- Report: FHWA-JPO-09-055, June
2009
- Follow-up study conducted from August 2009 – January 2011
- Report: FHWA-JPO-11-018, January
2011
- COTM: Dr. Roemer Alfelor
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3
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- To characterize the availability and quality of road weather information
focusing on the information content and usefulness.
- To serve as a baseline for future comparisons of enhanced road weather
information enabled by the Clarus system and other advanced road weather
management technologies.
- To recommend a strategy for future monitoring of road weather
information quality
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4
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- Characterize Available Road Weather Information
- Scan Road Weather Information Sources
- Characterize Road Weather Information
- Develop Baselining and Comparison Procedures
- 2008 Survey
- Design survey
- Survey DOT transportation managers (Advisory, Control, Treatment)
- Analyze and report results
- 2009 Survey
- Refine survey
- Survey DOT transportation managers (Advisory, Control, Treatment)
- Analyze and report results
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6
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7
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- Elements
- Air Temp
- Dew Point
- RH
- Wind Dir & Speed
- Weather
- Precipitation type & amount
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9
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- 14 Products (2008 survey)
- 37 Elements (2008 survey)
- 92 Product Components (2010
survey)
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- Quality Attributes
- Accuracy
- Completeness
- Relevance
- Latency
- Reliability
- Ease of use
- Composite average of six attributes
- Importance
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12
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13
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- STEPS
- List Likert scores for each Product Component by Attribute
- Calculate statistics
- Number of responses
- Average (mean)
- Median
- Standard deviation
- Range
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- Pavement Weather Forecasts
- Highest rated resource
- Overall quality attribute ratings were high
- Watches and Warnings
- Second in importance and overall quality rating
- Camera Imagery
- High in importance
- High in accuracy and currency
- Radar
- Timely and reasonably accurate
- Derived services need improvement
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- ESS Observations
- Lower level of importance
- Issues with accuracy, timeliness, and reliability
- Road Weather Alerts
- Important to users
- Users disappointed with content and timeliness
- Road Condition Reports
- Average level of importance
- Issues appear in most quality attributes
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- ELEMENTS
- Advisory - averages increased by 0.54
- Control – averages increased by 0.54
- Treatment – averages increased by 0.08
- PRODUCTS
- Advisory - averages decreased by 0.19
- Control – averages increased by 0.34
- Treatment – averages decreased by 0.08
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- Perceived quality is “good” – Likert score of 4
- Attributes needing weather support emphasis:
- Differences between user expectations and perceived quality are affected
by:
- Sensor performance
- Forecast accuracy
- Complexity of ‘abstract’ secondary formats
- Human factors have an important influence on the estimation of quality
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- Sample Size
- Increase the number of participants
- Expand the sampled community
- Length of Survey
- Separate into survey components
- Perform series of shorter survey components
- Survey Clarity
- Use example of product at beginning of each section
- Simplify questions
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- FHWA Road Weather Management Program should…
- Have oversight of an ongoing quality “monitoring” program
- Establish a road weather information quality attribute database that is
periodically updated
- Guide an open dialog of the monitoring process at appropriate road
weather stakeholder community meetings
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- Dr. Roemer Alfelor - FHWA Road Weather Management Program
- Roemer.Alfelor@dot.gov
- Bob Hart - Meridian Environmental Technology,
Inc.
- bobhart@meridian-enviro.com
- Leon Osborne - Meridian Environmental Technology,
Inc.
- leono@meridian-enviro.com
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