Winter maintenance decisions have traditionally relied on isolated weather station data, but modern technology now enables a comprehensive view of your entire road network’s conditions. With temperature variations of up to 15 degrees possible across a single network, understanding these micro-climates is crucial for effective maintenance strategies. This session explores cutting-edge sensor technologies and forecasting models that provide network-wide weather intelligence, allowing maintenance teams to move beyond single-point data collection. Learn how to interpret thermal mapping patterns, use mobile sensing platforms, and implement targeted treatment strategies based on real-time network conditions. Through practical examples and case studies, discover how agencies are using these advances to optimize resource allocation, reduce material usage, and improve service levels while maintaining safer winter roads. “After this session, participants will be better able to:
• Implement strategies for collecting and analyzing network-wide weather data to improve winter maintenance decision-making.
• Identify and predict pavement temperature variations across their network using modern sensor technology and forecasting tools.
• Develop targeted treatment plans based on micro-climate data to optimize resource allocation and enhance service delivery.”

Contributor/Source

Rachel Marland-Adams – Head of Winter Maintenance Products, Vaisala Xweather

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