Winter Service Session 07 - Forecasts for winter service
Wednesday, March 11
11:30
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13:00
Chair: Markus Nilsson, Fintraffic, Finland
Room: Hall E
The session highlighted how advanced forecasting technologies were reshaping winter road maintenance strategies, with the speakers from the call for papers. Presentations featured the development of a road weather digital twin tailored to Nordic conditions (Finland), innovative forecasting approaches from Japan, machine learning models enhancing Belgium’s road weather system, and climate/isotherm analysis to improve efficiency in highway operations and route planning (United Kingdom). Together, these contributions demonstrated how cutting-edge forecasting tools and data-driven models were driving safer, smarter, and more sustainable winter service practices.
Welcome and session introduction
• Markus Nilsson, Fintraffic, Finland
Presentations
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Road Weather Digital Twin in Nordic conditions
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Road Weather Forcast
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Enhancing the Belgian road weather forecasting system with a machine learning based road weather model
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Climate and Isotherm Analysis for Improved Efficiency in Highway Winter Maintenance Operations, Weather Forecasting, and Route Planning
Questions and Answers
• Moderator: Markus Nilsson, Fintraffic, Finland
Conclusion
• Markus Nilsson, Fintraffic, Finland
Organization
Session Organiser: Horst Hanke, Leader of the German Winter Service Committee, Germany
Session Secretary: [To be confirmed]