Road Surface Intelligence for Winter Operations
Turning fragmented data into smarter operational decision making.
Guiding Principles
How we approach analytics
Segment-Level Awareness
See winter risk where it actually forms.
- Analyze 20 m road segments instead of relying on broad corridor averages.
- Surface bare, partly covered, snow covered, sanded, salted, and icy patterns as they change.
Real-Time Operational Context
Keep decisions aligned with the latest field conditions.
- Bring 15-minute observations, grip readings, AVL, and treatment logs into one current view.
- Flag condition regression before a covered or icy segment becomes a network-wide problem.
Crew-Centered Workflows
Make analysis useful during a storm, not after it.
- Turn complex spatiotemporal data into plain-language priorities for supervisors and crews.
- Fit outputs around dispatch, patrol, treatment, and post-event review workflows.
Defensible Winter Operations
Create evidence and learn from each response.
- Build a clear record of observed conditions, forecast context, and treatment decisions.
- Identify what worked, what did not, and which timings or treatments should change next time.
Who we are
Built by winter operations nerds who love systems
WinterSync is an Edmonton-based founding team bridging transportation research, software engineering, and practical winter maintenance workflows so agencies can make better decisions from the data they already collect.
Michael Urbiztondo
Transportation Engineer / Researcher
Michael connects transportation research with winter operations practice, turning fragmented surface data into decisions supervisors can actually use.
- Leads discovery around winter maintenance constraints, data gaps, and decision points.
- Translates research into practical surface-condition workflows and operational outcomes.
Charles Ancheta
Fullstack Software / Data Engineer
Charles designs the technical backbone that keeps WinterSync fast, reliable, and easy to fit into existing data environments.
- Architects resilient data pipelines and infrastructure for high-resolution road observations.
- Champions performance, accessibility, and maintainability across the stack.
Dr. Tae J. Kwon
Director, GeoTrans Lab / Lead PI
Dr. Kwon brings deep expertise in winter road maintenance research, directing the GeoTrans Lab and leading internationally recognized projects on road weather management.
- Principal investigator on major national and international winter road maintenance research programs.
- Maintains key networks with transportation agencies worldwide, bridging research and field practice.
Why we started WinterSync
Tools that connect 20 m road segments
We believe winter road data should support action while conditions are changing. WinterSync helps road teams turn complex, fragmented surface data into clear, defensible operational insight.
Let's chat
Tell us about your winter road challenge
Share the data you have, the decisions you need to support, and where winter operations still feel harder than they should.