This dataset delivers anonymized, planning-grade commercial mobility coverage for 99.9% of North American primary roadways, derived from millions of connected commercial vehicles. It includes modeled annual average daily traffic by vehicle class, full origin-destination trip chains, aggregated safety and harsh-event counts, historical speeds and travel-time delays, and stop/dwell analytics. Regional travel and efficiency metrics provide vehicle distance traveled and fleet fuel and carbon trends. Rich metadata filters enable segmentation by vehicle class, time, and context. Spatial data supports mapping, proximity analysis, corridor ranking, and regional network performance assessment for planners, data scientists, and engineers.

Key attributes include:

• Segment-level commercial traffic volumes with vehicle-class segmentation

• Origin-to-destination trip chains and corridor passthrough mapping

• Aggregated safety events from g-force triggers to identify hazardous corridors

• Time-of-day speeds, travel times, and delay minute analytics

• Stop locations, dwell durations, idling metrics, and regional fuel/carbon indicators

Value Summary:
Transportation planners, logistics analysts, fleet managers, and public agencies benefit from continuous, anonymized commercial mobility signals to optimize routing, prioritize infrastructure investments, reduce congestion and emissions, and proactively identify safety risks.