Traffic data measures how roads perform: speeds, travel times, congestion, volumes and incidents. Logistics and delivery companies, navigation products, transport authorities, retailers and real estate investors use it to plan routes, estimate arrival times, evaluate sites and measure the effect of road projects.
Typical fields
- Road segment ID and geometry, tied to a map version
- Timestamp or time-of-day bucket
- Current, typical and free-flow speeds
- Travel time and congestion index
- Traffic volumes or counts where available
- Incidents, closures and roadworks with start and end times
- Confidence score or sample size
Sources and collection
Traffic data blends probe readings from vehicles and mobile apps, fixed sensors such as loop detectors and cameras run by road authorities, and incident reports from official feeds. Providers map-match probe points to road segments, aggregate them, and publish speeds with a confidence indicator.
Delivery and pricing
Real-time feeds are delivered through APIs or streams, often in formats used by road operators. Historical speed profiles are delivered as files keyed to a road network. Pricing depends on geography, road classes, refresh rate and whether the data can be displayed to end users.
Before you buy
- Confirm which map and road network the segment IDs refer to, and how network updates are handled.
- Check coverage on minor roads as well as highways, and at night.
- Ask how confidence is calculated when probe counts are low.
- Compare historical speeds against a ground truth such as sensor counts.
- Check licence terms for display and redistribution.