The extreme seasonal weather conditions during the winter months in Bavaria present a serious challenge to road maintenance services in the region. Maintaining the flow of traffic throughout the road network requires a winter maintenance service that operates effectively and with foresight. One of its main tasks is to coordinate the 600 public and 700 private service vehicles deployed to keep traffic moving along Bavaria's 22,000 kilometres of roads. Together with Germany's National Meteorological Service (Deutscher Wetterdienst), we integrate and distribute reliable and highly actual weather information and forecasts. This presentation shows how FME Server is used to integrate weather information and forecasts from different web services almost in real-time. The data provided by FME Server is used in a web-based information system that is part of the daily work of the road authorities.

1. Winter Maintenance
Management System Bavaria
Sören Dupke

2. Sören Dupke
INSPIRE Solution
Pack, XML/GML,
Certified Trainer,
Professional
(Server/Desktop)

3. • Bavaria’s road weather
platform
• Software Architecture
• Role of FME Server
Agenda

4. Winter maintenance
management system
• Development started 2015
• Central platform for the Bavarian road construction
administration
• Provide continuous road weather information
• Integrating different data sources
– Deutscher Wetterdienst
– Mobiworx and Metz (real time vehicle position)
– Sensor data
– Road webcam images, tourplans for salting and clearing
roads, thermal data from sensor vehicles

5. Integrated Data
• Road weather station data
(-2/+18 hours)
• Precipitation radar
(-2/+18 hours)
• Webcam images
• Weather reports (+10 days)
• Thermal data along roads
• Planed routes
• Regional official warnings

6. Architecture
Mobiworx/Metz
<XML>
Real-Time
ABDN
<MapInfo>
Streu/
Räumpläne
ABDN
<CSV>
Thermal
daten
DWD
<CSV>
GMA-Mess/
Prognose
DWD
<GRIB2>
COSMO-DE
HTTPS
HTTPS
HTTPS
FTPFTP
FME
WMS
(Secured)
REST
(Secured)
security.
manager
DWD
WMS
Wetterradar
EA/FX-Produkt
ABDN
<PNG>
SWIS
Webcam
HTTPS
Every
hour
Every 15
minutes
Every
Year
map.apps
WDMS forecast app
Every 15
minutes
DWD
<WFS>
Warnings
HTTPS
Feature
Class
Bayerninfo.de
via SOAP
ArcGIS
ArcGIS
GeoEvent
FME
WDMS operation app
Bundles Bundles Bundles Bundles Bundles
Feature
Class
Feature
Class
Mosaic
Dataset
Bigdata
Store
Every
minute

7. THE GMA WORKSPACE

8. GRIB2 Import FME
2017-05-25T05:30:00.000Z
2017-05-25T05:45:00.000Z
2017-05-25T06:00:00.000Z
.
.
.
.

9. THE COSMO WORKSPACE

10. Real-Time Data extension
• Collecting and
storing real-time
data of 1.400 snow
trucks every 10
seconds
• On average ~1-10
million point
positions and activity
data per day
ArcGIS GeoEvent
Server/BigData Store
(1) Schedules and Requesting
Realtime Server every minute
(2) GeoEvent receives requests
via TCP Input Connector
(3) GeoEvent stores the real-time
data via „Big Data“ Output
Connector
Mobiworx/Metz
<XML>
Real-Time
HTTPS
ArcGIS
GeoEvent
FME
Bigdata
Store
Every
minute

11. Jobs and Schedules
FME Server
• Heavy use of FME
Server Schedules
• ~2000 jobs per day

12. Place your screenshot here
Solution

13. Place your screenshot here

14. Bavaria’s road weather platform
Time Slider
Webcam Image
Maintenance
Area Panel
Alert Info

15. About Bavaria’s road weather platform –
operating winter service activities
• Visualize snow-
clearer fleet‘s
activity and
position
information in
nearly real-time

16. Bavaria’s road weather platform – Impressions (WDMS
operational app)
Maintenance
Area Panel

17. Integrating different data
sources
• FME Server:
– Out-of-the-box FME
Readers for all supported
data formats available
– FME Processes for
extracting vector and raster
information into the target
format
– Powerful scheduling engine
for running transformations
with high frequency (e.g.
every minute)
• Data Sources / Formats:
– CSV via FTP (road weather
station – Measured and
Forecasted)
– XML via HTTP (Real-time
information)
– OGC WFS (DWD Warnings)
– OGC WMS (Precipitation radar)
– GRIB2 via FTP (COSMO-DE
regional model data)
– …

18. Conclusion
• FME Server is one of the
core pillars of the system
• FME Server made integrating
the different data sources
easy
• Easy to extend the system
(real-time)
• Processes continously
extended and optimized

19. THANK YOU!
www.conterra.de | s.dupke@conterra.de