Ride share and delivery data for 4.5 million miles of roadway
We process billions of location records every month to illuminate traffic patterns on North America’s roads — and let you zero in on:
- Personal vehicles vs. ride share traffic
- Light delivery vehicle traffic
- Commercial truck traffic
Our analytics enable 3,000+ transportation projects a month
Ride sharing and delivery data
- Understand how “gig” driving interacts with congestion in your city
- Zero in on demographics and transit ridership
- Get traffic penetration of “gig” vehicles on desired streets, days of week or times of day
Use empirical data to influence the public debate. Measure how “gig” driving interacts with social justice, safety, climate and VMT.
How we get the data you need
Every month, we ingest, index and process over ~40 billion anonymized location records from smart phones and navigation devices in connected cars and trucks. Our proprietary data processing engine, Route Science®, algorithmically transforms them into contextualized, normalized and aggregated travel patterns.
You get access to the output: analytics that describe how personal vehicles, “gig” vehicles, bicycles and pedestrians move on our streets.