Making data-driven winter maintenance decisions is increasingly expected from all your stakeholders, both internal and external. With an explosion of data available and the requirement to be as efficient as possible, leaders must choose solutions that give you the local forecast and sensor data you need without overburdening staff. Having too much data can be as bad as t having eugh. Join this session to learn strategies for leveraging the latest data sources available while maintaining a practical focus on your core mission of keeping communities safe during winter weather. This session explores emerging data sources for monitoring road conditions and making treatment calls, along with their benefits and limitations. We’ll also discuss decision support tools to help you make sense of the data, look at how AI could impact these, and what this will mean for you.
At the conclusion of this session participants will be better able to:
• Describe the key data sources available when making a winter maintenance decision and the pros and cons of each one.
• Explain how a decision support system will help them to make better winter maintenance decisions.
• Articulate how best to implement a data-driven approach to winter maintenance decision-making in their agency.

Contributor/Source

Nick Johnson

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