Low-Latency Traffic Intelligence for the Modern Highway System
Near real-time alternative to HPMS. Continuous, high-frequency mobility data from hundreds of millions of sensors — delivering CONUS-wide coverage with time-of-day resolution.
The Problem
Government HPMS relies on sparse primary sensors, periodic manual and automatic counts, statistical expansion, and smoothing models. The result: annual averages released on 12–18 month cycles.
Our Approach
Hundreds of millions of consumer GPS sensors provide continuous sampling across CONUS. Anonymized, aggregated, and delivered with approximately 4-day latency — resolving traffic volumes by time of day, day of week, and vehicle type.
Head-to-Head
Cohort Atlas vs HPMS 2023
| Metric | Cohort Atlas | HPMS 2023 |
|---|---|---|
| Latency | ~4 days | ~18 months |
| Spatial Resolution | Road-segment level | HPMS section-level |
| Temporal Resolution | Hourly / time-of-day | Annual averages (AADT) |
| Update Cadence | Weekly | Annual |
| Vehicle Types | Passenger, freight, fleet | Combined total only |
| Coverage | All public roads (GPS-derived) | Federal-aid highways primarily |
| Confidence Scoring | Per-estimate confidence intervals | Not provided |
| Time-of-Day Resolution | Full 24-hour profile | Peak-hour factors (modeled) |
Use Cases
Infrastructure-grade traffic intelligence for planning, investment, and operations.
Site Selection
Evaluate traffic volumes and truck activity near candidate distribution center locations.
Freight Monitoring
Track Class-8 truck volumes across major freight corridors in near real-time.
Construction Impact
Measure traffic diversion and volume changes during construction projects.
Infrastructure Underwriting
Data-driven due diligence for highway-adjacent real estate and infrastructure.
Corridor Planning
Assess current utilization and growth trends for highway segments.
Safety Research
Analyze traffic patterns and volume changes for crash analysis and safety studies.
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