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Traffic Data supports HERE and TomTom with real-time and historic data using OpenLR

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Traffic powered by 500 million MAUs updating every 5 minutes for 2.3 billion road segments around the world

By: Ben Levin

We are now offering stand-alone Traffic Data for use outside of our Navigation APIs — for companies and governments requiring the most comprehensive and accurate traffic data, wanting to incorporate their own sources of traffic data, custom routing engine, or other specifications.

The key to providing accurate traffic data with broad geographic road coverage is to get data from as many people moving on the road as possible. Our Traffic Data provides real-time and predictive traffic patterns drawn from a globally distributed user-base of more than 500M MAUs. Only a handful of companies around the world have access to this volume of data, and no one has made it commercially available. Until now.

Our Traffic Data is now comparable with other proprietary data sets; Mapbox Traffic Data uses openLR encoding for maps like HERE, or TomTom. From automakers, to large-scale logistics, fleets operations, or urban planning use cases — improve your intelligence with the highest quality commercially-available traffic data via the Public Beta of Mapbox Traffic Data.

“With approximately fifty thousand apps currently using Mapbox tools, the wave of adoption has been considerable. Additionally, the ability to process over 300 million miles of road data per day is unprecedented. Mapbox Data Service’s strategic move to sell live traffic data is unique to the industry and will be particularly well suited for urban planning, route planning at scale, and other use cases that require the analysis of raw traffic data or the simulation of billions of potential routes. Importantly, Mapbox’s offering, and associated pricing, is simple, transparent, and scalable.” — Brent Iadarola, VP, Frost & Sullivan
Aggregated, anonymized and privacy-filtered telemetry data collected in San Francisco.

Highest quality traffic data

Mapbox Traffic Data leverages the power of global crowds at a scale available to only a handful of companies on the planet, paired with advanced data processing and machine learning algorithms to offer accurate live and typical traffic profiles. We produce updates at a 5-minute granularity for 2.3 billion roads segments around the world.

The power of the crowd: A massive, distributed global user base

They key to Mapbox Traffic Data is our wide adoption and data availability. Every month, more than 500 million monthly active users touch our maps, via 45,000 different Android and iOS applications built with Mapbox — generating more than 300 million miles of aggregated, anonymized and privacy-filtered driving data every day. The breadth of this data pipeline allows us to offer more detailed traffic coverage, on more streets than existing datasets.

Accuracy powered by AI

We continually benchmark our traffic predictions against ground truth calculations and use machine learning techniques to continually tune predictions and minimize error. When integrated with a routing engine, Mapbox Traffic Data can achieve predicted ETA is within 10% of actual arrival time (for instance, on a 20-minute trip the ETA would predict 18–22 minutes.)

Real-time coverage

Mapbox receives more than 100,000 location updates per second, and uses data to continuously detect unexpected traffic and slow-downs. Live data in Mapbox Traffic Data includes traffic profile updates every 5 minutes, based on information not more than 15 minutes old.

Using Traffic Data

We’ve built Mapbox Traffic Data to directly plug into common applications and unlock value for on-demand services, logistics companies, and analytics:

Matching to a HERE or TomTom map

Mapbox Traffic Data contains map-neutral openLR linear referencing. openLR is an open, vendor-neutral standard that uses metadata about the road such as start point, end point, length, and bearing to allow cross-map referencing. With openLR, you can use Mapbox Traffic Data integrates directly into a HERE or TomTom basemap. We have also added support for native matching to OpenStreetMap node-pair IDs for companies using OSM node IDs with their custom data.

Integration with a custom routing engine

Some sophisticated routing and analytics users want to perform custom routing analysis and integrate proprietary datasets, such as driver-specific speeds or historical trip information, into their routing engines. Blending this proprietary information with Mapbox Traffic Data can improve accuracy, leading to more accurate ETAs and more deliveries or pickups per hour.

Mapbox Traffic Data is designed to integrate with popular routing engines like Graphhopper and OSRM. For a live traffic use case, take map-matched typical traffic data, overlay live data where available, and upload it as edge weights into the routing graph. An example of OSRM’s implementation for this functionality can be found here.

Once you have a custom routing engine established, you can easily scale to millions or billions of requests, continually leveraging improving Traffic Data, without incurring additional costs.

Directly analyzing Traffic Data

Mapbox Traffic Data is accurate, comprehensive (coverage of all major roads and many small roads), and detailed (5-minute traffic increments; block-level traffic estimates). With Mapbox Traffic Data, you can directly analyze typical traffic data to discover patterns, model changes, and determine typical congestion. Our documentation has an example of working directly with traffic metrics: Calculate Aggregated Traffic Metrics

Test immediately and start building

Check out our FAQ for more details and detailed documentation for traffic data to begin integration testing today. For production or evaluation access, Mapbox Traffic Data is licensed annually and available on an Enterprise plan. Contact our sales team for more information.

Ben Levin - Product Manager - Mapbox | LinkedIn


Traffic Data supports HERE and TomTom with real-time and historic data using OpenLR was originally published in Points of interest on Medium, where people are continuing the conversation by highlighting and responding to this story.


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