Our Data and Technology

We offer the best Big Data resources for understanding travel patterns combined with hassle-free processing software.

Our Data Sources

Every month, we process over 60 billion new location records to keep our analytics up-to-date. Our sample size represents about 23% of travel activity in the US and Canada. Archival data from past months remains in our database, so you can track trends. We evaluate and incorporate new data providers regularly so that we have best resources available. The types of data we use today include: 


Location-Based Services Data

Location-Based Services Data

Our Location-Based Services data comes from smartphone apps that track devices’ locations to provide specific services. These services include weather forecasts, shopping deals, restaurant reviews, etc. We use this type of data for Metrics that describe activities and travel patterns around and between locations. 

Navigation-GPS Data

Navigation-GPS Data

Our navigation-GPS data comes from devices that help people navigate, such as connected cars and trucks, turn-by-turn route guidance apps, and commercial fleet management systems. We use this type of data for Metrics that describe trips and routes with extremely high spatial precision.

Contextual Data

Contextual Data

Contextual data sets are blended with our location data sets to enhance our Metrics with additional layers of information. We integrate census data for demographics, parcel data for trip purpose information, and road network data for routing. 

Learn more about our best-in-class data providers.

View Our Partnerships

Our Software: Hassle-Free Processing Technology

Our technology makes using our Big Data resources to understand mobility simple and easy. It has two important components: Route Science®, our data processing engine, and StreetLight InSight®, our cloud-based platform. 

RouteScience: Our Proprietary Data Processing Engine

RouteScience: Our Proprietary Data Processing Engine

Route Science algorithmically transforms trillions of messy location data points into contextualized, aggregated, and normalized travel patterns. Through machine learning, it cleans and links location records into trips and activities, organizes them temporally, and blends in contextual information.

Next, Route Science normalizes and aggregates the data into analytics. These steps protect individual privacy and ensure that our Metrics are comparable across different time periods, even as the number of devices and records in our database grow. Finally, the cleaned, processed data are stored in a database that is designed to be queried. In other words, the records go into a database that can answer our clients' questions.


StreetLight InSight®: A Hassle-Free Big Data Platform

StreetLight InSight is an easy-to-use online platform for running Metrics directly from your computer’s Internet browser, in just a few mouse clicks. The StreetLight InSight platform lets you ask and answer specific questions about travel patterns. 

When you use StreetLight InSight, it pulls the Metrics from our database that match your specific parameters. In other words, it selects and organizes the location records that answer your question into Metrics. Most Metrics are ready in minutes, though complex queries take more time. Thanks to this speed, you can easily tweak your parameters to optimize your results. Then, you can visualize the analytics directly in StreetLight InSight, or download them in .CSV files to manipulate with your own analysis tools.

Are you ready to use Big Data to understand travel patterns - without the hassle?

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