Realization and Concept of the MDSS ASFiNAG up-to-date 25th July 2006

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Realization andConcept of theMDSS
ASFiNAGup-to-date 25th July 2006

• Albert Mathis, Dipl. Ing FH, Executive MBA,
• AnyData AG, Switzerland albert.mathis_at_anydata.ch

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Topics of this presentation
Realization

• MDSS - ASFiNAG
• MDSS - Code
• MDSS - Code format
• Probability of forecast precipitation
• Probability of forecast snowfall/snow cover
• Actual Treatment
• Treatment recommendations
• Calibration with Mathematician
• Concept was proposed for the State of Ohio

Input
Concept
Output
Expertise
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• MDSS Austria
• Realisation

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MDSS - Components
Meteorological office
Mobile data acquisition
Weather forecast (incl. MDSS-Codes)
Maintenance vehicle data
Road weather information systems (RWIS)
MDSS
Maintenance decision support informations
Measured road data
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MDSS - System

• Full system redundancy in two locations
• High availability (99.8)
• 700 RWIS,
• Viasala, Luft, Micks, Boschung
• 150 users,
• 1,600 miles of highway

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MDSS Sofware
Modules
Nowcasting / Forecasting
Treatment recommendation
Data acquisition
Alarming
Platform
Data display / reporting
Configuration
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MDSS User interface
Main display

• Secured log-in
• Map based display
• RWIS Road weather segments
• Danger level for upcoming hours
• Time cursor

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MDSS User interface
Other displays

• History graph
• Measured data
• Precipitation
• Alarms
• Status
• Forecast accuracy
• Comparision forecast / measurement

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MDSS User interface
Other displays

• Country summary
• Still pictures
• Satellite / radar pictures

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MDSS - Code format

• XXYYzZ
• XX Change on the road surface
• YY Weather, Precipitation
• z Wind
• Z Temperature characteristics

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Example MDSS-Code 066623

• Compact high fog, locally icing drizzle
• black ice
• MDSS-Code 066623
• 06 freezing rain
• 66 freezing rain
• 2 wind 30-60kmh
• 3 Temp. /- 0C.

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MDSS - Codes

• MDSS - Codes are generated every hour for 3h,
  every 6h for 32h and every 12h for 72 hours
• MDSS - Codes are generated for approximately 220
  sections of road (1600 miles of highway)
• MDSS - Codes communication between road manager
  and the weather prognosticator are very efficient.

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Probability forecast for precipitation
Probability
100
0
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Probability forecast for snowfall/snow cover
(today and future)
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Actual Treatment

• No calibration is possible without the actual
  treatment.
• No treatment recommendation is possible without
  the actual treatment. Same result as
  MDSS-Colorado (Winter 2004 - 2005).
• Spreader - Data is necessary

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Treatment recommendations
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Calibration with Mathematician

• Mathematician expertise helps calibrate the MDSS
  - System.
• This expertise provides that the MDSS - System
  works with a proven maximum effectiveness.
• This effectiveness must be accepted from the
  owner of the road network (e.g. 92). The owner
  knows now under which conditions the MDSS -
  System cant be used (e.g. radar-shadow).

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Concept was proposed for the State of Ohio

• Evaluation of ODOT Roadway / Weather Sensor
  Systems for Snow and Ice Removal Operations,
  Final Report June 2003
• Helmut T. Zwahlen, Ph.D., Russ Professor Emeritus
  of Industrial and Manufacturing Systems
  Engineering Ohio Research Institute for
  Transportation and the Environment (ORITE)
  Athens, USA. Email zwahlen_at_ohio.edu
  http//www.ent.ohiou.edu/ce/orite/index.html

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MDSS ASFiNAGwww.asfinag.atwithwww.boschung.com
www.boschungamerica.com

• Albert Mathis, Dipl. Ing FH, Executive MBA,
• AnyData AG, Switzerland albert.mathis_at_anydata.ch

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