The driving data that moves markets before they move.
Road Mobility Analysis turns U.S. driving activity into high-frequency mobility intelligence for energy traders, hedge funds, economists, and public-sector analysts.
U.S. vehicle miles traveled intelligence
Five driving motive categories
Regional and national coverage
Built for market, policy, and corporate analysis
Mobility intelligence for decisions that cannot wait for official data.
Mobility Data
High-frequency indicators of vehicle activity across 50 states, updated daily for immediate signal detection.
Gasoline Forecasting
Proprietary models correlating VMT with EIA demand reports, providing a lead time of 7-10 days over public data.
Market Intelligence
Contextualized reports that explain the 'why' behind the movement, from holiday shifts to economic trends.
Data products built for analysts.
Seamlessly integrate high-velocity road data into your existing workflows.
U.S. Mobility Index
A composite index of nation-wide driving activity calibrated for market correlation.
State Mobility Data
Granular insights for all 50 U.S. states with historical baselines dating back to 2019.
Driving Motive Dataset
Categorized by work, shopping, social, recreational, and utility-based trips.
Gasoline Forecast Model
Predictive modeling for weekly EIA gasoline demand releases.
Data Integration
Low-latency data delivery for seamless programmatic integration.
Historical Database
Cleaned and normalized multi-year history for backtesting and research.
Who can find value here
Seven desks, and the question each one walks in with.
Find the question that sounds like yours, then see exactly which models answer it.
Gasoline and refined-product traders
“Will this week's EIA demand print surprise, and which PADD is driving it?”
Refiners, blenders and product marketers
“How much demand does a PADD 3 hurricane cost, and how much of it is supply?”
Macro investors, rates desks and economists
“Is the slowdown broad, or three large states dragging the average?”
Equity analysts consumer, restaurants and retail
“What did traffic do this quarter — the name, or the whole category?”
Auto, EV and fuel-efficiency analysts
“Electrification, fleet age or price: which is moving gasoline demand?”
Quant researchers and alt-data teams
“Is there a state panel long enough to backtest, with its provenance intact?”
Transportation, infrastructure and public-sector planners
“Is my state recovering with the country, or falling behind it?”
Transparent methodology for institutional buyers.
Large-Scale Sample Sizes
Aggregated from millions of connected vehicles and devices across all U.S. markets.
Daily Update Frequency
Data processing and delivery within 24 hours of activity capture.
FHWA & EIA Validation
Strict backtesting against federal highway (VMT) and energy (gasoline) data.
Historical Performance
Full transparency on model error rates and predictive accuracy over the last 5 years.
Documentation
- Data Sources & Provenance
- Sampling & Normalization
- Geographic Weighting Models
- Validation Whitepaper
See the data in action.
Weekly Monitor
VMT Trends Report
Analysis of the recent surge in West Coast driving activity.
Read Report →Seasonal Tracking
Summer Driving Wrap
How holiday weekends outperformed prior-year baselines.
Read Report →Flexible access for every team.
Choose the plan that fits your analysis needs.
Trader
- Weekly refresh
- PADD spread modeling
- Gasoline hub forecasts
- Demand-shock estimates
Macro/Quant
- Recession leading indicators
- Custom data feeds
- API access
- Monthly analyst call
Leadership & Research
CEO
Gary Eisen, PhD, CFA
Dr. Eisen has held important positions over several decades in the oil industry including chief economist for British Petroleum NA, research manager for Louis Dreyfus Energy, senior economist for Petroleum Industry Research Associates and more recently S&P Global.
Technical Implementation
The engineers building the low-latency infrastructure and econometric models powering our real-time signals.
Lead Software Engineer
Alex Thorne
Expert in low-latency data pipelines and high-frequency data distribution systems.
Econometrician / Systems Programmer
Sarah Chen
Specialist in Markov-switching algorithms and predictive demand forecasting models.
Ready to see the data that moves before the market does?
Speak with a data specialist about custom API integration and regional coverage.