Winter Service Session 11 - AI for road status information
Wednesday, March 11
14:00
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15:30
Chair: Markus Nilsson, Service Manager / Fintraffic Road Ltd, Finland
Room: Room 1
The session highlighted how artificial intelligence was revolutionizing winter road maintenance, with the speakers from the call for papers. Presentations showcased a regional web-camera network for snow and ice detection (Japan), real-time prediction models to optimize maintenance strategies (Austria), new methods to measure and control hoarfrost as an underestimated hazard (Austria), and integrated salt/brine management using meteorological, geolocation, traffic, and residual salt data applied to mobile workforce systems (Switzerland). Together, these contributions demonstrated how AI-driven solutions enhanced safety, efficiency, and decision-making in winter service operations.
Welcome and session introduction
• Markus Nilsson, Service Manager / Fintraffic Road Ltd, Finland
Presentations
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Development of a new system that provides snow-ice information incorporating various measuring devices and data by using a regional WEB-Camera System Network as a base station
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Optimization of winter maintenance strategies with real-time prediction
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Hoarfrost in Winter Maintenance – the underestimated “danger”: Measurement, Prediction & Control
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Salt/Brine Real Time Management using Meteorological, geolocation, Traffic information as well as residual salt on the road ,applied to Mobile Workforce Management
Questions and Answers
• Moderator: Markus Nilsson, Service Manager / Fintraffic Road Ltd, Finland
Conclusion
• Markus Nilsson, Service Manager / Fintraffic Road Ltd, Finland
Organization
Session Organiser: Horst Hanke, Leader of the German Winter Service Committee, Germany
Session Secretary: [To be confirmed]