Transcript Concept of the MDSS ASFiNAG up-to

Realization and
Concept of the
MDSS ASFiNAG
up-to-date 25th July 2006
Albert Mathis, Dipl. Ing FH, Executive MBA,
AnyData AG, Switzerland [email protected]
MDSS - Stakeholder Meeting, Falls Church, VA, 11th August 2006
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Topics of this presentation
MDSS - ASFiNAG
Realization
 MDSS - Code
Input
 MDSS - Code format
 Probability of forecast precipitation
 Probability of forecast snowfall/snow cover
Output
 Actual Treatment
 Treatment recommendations
Expertise
 Calibration with Mathematician
 Concept was proposed for the State of Ohio
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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
Location 1
Location 2
• 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
Configuration
Alarming
Platform
Data display /
reporting
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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
YY
z
Z
Change on the road surface
Weather, Precipitation
Wind
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. +/- 0°C.
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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
(1’600 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)
Zur Anzeige w ird der QuickTime™
Dekompressor „YUV420 codec“
benötigt.
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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 MDSSColorado (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 can’t be used (e.g. radarshadow).
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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: [email protected]
http://www.ent.ohiou.edu/ce/orite/index.html
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MDSS ASFiNAG
www.asfinag.at
with
www.boschung.com
www.boschungamerica.com
Albert Mathis, Dipl. Ing FH, Executive MBA,
AnyData AG, Switzerland [email protected]
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