Mapbox Traffic Data
- Data for typical and live traffic speeds
- Raw building blocks for routing analysis
- Use data to power custom routing engines
- Use data for traffic analysis and simulation
Mapbox Traffic Data is a dataset of estimated road speeds. Traffic Data includes Typical speeds, which are the expected traffic conditions throughout the week. Traffic Data also includes Live speeds, which are speeds that have been directly observed in the last 15 minutes. Traffic Data speed predictions are calculated using the 300 million miles of de-identified location data collected daily from mobile devices running Mapbox-powered apps.
Mapbox Traffic Data contains the same data used to power the Mapbox Directions API's driving-traffic profile. Test it out in the Mapbox GL JS Display driving directions example. The same data is also used to display live traffic on maps using the Mapbox Traffic vector tileset.
Data sources
Mapbox Traffic Data is crowdsourced from more than 700 million monthly active users across 45,000 Android and iOS applications that touch Mapbox maps. This highly diversified and distributed data source generates more than 400 billion live location updates from the ground each month, driving more traffic coverage on more roads vs. traffic data sources relying on fixed sensors or niche use cases.
Mapbox automatically benchmarks Traffic Data against observed moving vehicles ("ground truth") over a data sample of more than 1 million trips every day. Machine learning techniques use this validation to continuously improve over time, achieving industry-leading accuracy.
Use cases
With Mapbox Traffic Data, you get access to the raw building blocks for use in your custom routing analysis. There are two main use cases for Mapbox Traffic Data:
- Powering custom routing engines: Mapbox Traffic Data can integrate with routing engines to generate traffic-aware ETAs and find the most efficient routes around traffic.
- Traffic analysis and simulation: Mapbox Traffic Data can be used for urban planning, route planning at scale, supply and demand analysis, and other use cases that require the analysis of raw traffic data or the simulation of billions of potential routes.