The presentation will be about how FME is used to follow up on winter road maintenance in Stockholm, Sweden. The purpose is to be able to use the analysis results to follow up and control contractors and their contract fulfillment. All vehicles are logged with GPS, and with the help of position and time, an analysis is made. Different surfaces have different limit values with regard to e.g. when the surface should be performed after snowing. In the event of heavy snowfall, millions of points are created, and a FME Server Automation is then triggered using a Webhook. To speed up the process, several parallel analyzes are created and the result is written back to the database. Reports can then be generated and retrieved using FME Server apps and it is also possible to view on a map. The project has had several challenges, such as data quality, performance optimizations and scalability. The solution has been to prepare data when possible and build up a road network that GPS points can snap against, but also to use the scalability of Dynamic Engines. Most of the year, no more than one engine is required, but when the winter is coming, you can't have too many.

1. Winter Road
Maintenance Analysis

2. Presenter
The
Peak
of
Data
Integration
20
23
Anton
Sandström
Team Manager
Sweco

3. The
Peak
of
Data
Integration
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Agenda
● Introduction
● FME Analysis and Architecture
● Result
● Conclusion

4. The
Peak
of
Data
Integration
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Introduction

5. The
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of
Data
Integration
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Stockholm is one of the world's
northernmost capitals, and
winters often mean snow

6. The
Peak
of
Data
Integration
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Unknown Authors is licensed under CC-BY-SA-NC

7. The
Peak
of
Data
Integration
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Winter road maintenance analysis
• The client is City of Stockholm, Traffic Office
• Responsible for snow removal in Stockholm
• Snow removal is carried out by contractors
• Priority is given to high-capacity modes of transport
• The City regularly checks the work

8. The
Peak
of
Data
Integration
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Criterias and priority
● Trafic route within 2 hours
● Class 1 within 2-4 hours
● Class 2 within 4 hours
● Class 3 within 4-6 hours
● Class 4 within 10 hours
● Class 5 within 10 hours

9. The
Peak
of
Data
Integration
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Goal
● Automated controls
● If/when a road is cleared of snow
● Reports and maps within 1 hour
● Better dialogue with contractors

10. The
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Integration
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FME Analysis and Architecture

11. The
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Integration
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Input data
● GPS tracks from plow vehicles
○ Including activity
● Maintenance areas with threshold criteria
● Information of each task
○ Task-id
○ Start/end time
○ Contract
● None of the data sources were created to be used
together

12. The
Peak
of
Data
Integration
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Data flow
Geometries are
modified
Ny linjer skapas i
databas och
uppdateras om nya
punkter hör till
samma linje
Linjer snappas mot
centrum av
skötselytor
DB Cache Analysis DB Result
Criteria’s Reports
Geometries are
fetched every week
Visualization
Back-end
FME Flow
Map
GPS-points
Tasks
Road
Areas

13. The
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Integration
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Analysis
● GPS-tracks are snapped to road center
● Control when first and last point hits the area
● Comparison to criteria's
● Result written to database

14. The
Peak
of
Data
Integration
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Workspaces
● ContractLoader
● ThresholdLoader
● MaintenanceAreaLoader
● Analysis
● Report
● ReportRunner

15. The
Peak
of
Data
Integration
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Automation

16. The
Peak
of
Data
Integration
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Data load

17. The
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of
Data
Integration
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Engines

18. The
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Report App

19. The
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Data
Integration
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Report
● Task-id
● Contract
● Activity
● Task start/end time
● For each class
○ Area type
○ Square meters within and
outside threshold
○ First and last GPS hit
○ Biggest delay

20. The
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Integration
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Queues
● Report, Prio 1
● Loading data, Prio 5
● Analysis, Prio 10

21. The
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Conclusion

22. The
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Summary
● The analysis is automated
● Engineers can generate reports
● Better dialogue with entrepreneurs
● Works though heavy load on server

23. The
Peak
of
Data
Integration
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The analysis is never
better than the data

24. Improvements
1. Better quality of data
2. Live data
3. Optimization of Workspaces
4. Improved reports

25. ThankYou!
anton.sandstrom@sweco.se