Metrics

As mapping needs advance, city planners use innovative mapping tools to plan city roads. One of these tools is StreetLight Data, which uses big data from mobile devices to understand travel behavior of cars, bicyclists, and pedestrians.

As mapping needs advance, city planners use innovative mapping tools to plan city roads. One of these tools is StreetLight Data, which uses big data from mobile devices to understand travel behavior of cars, bicyclists, and pedestrians.

A conversation with Andrew Kuzmik, StreetLight Data's Director of Private Markets, about why he thinks changing transportation can change the world.

By fusing permanent IoT transportation sensors with our mobile data resources (and some excellent data science) we can provide data for activity on every road, sidewalk, bikelane, and neighborhood.

One of the world’s most sparsely populated countries, Canada can’t always rely on traffic counters for collecting vehicle trip data, especially on rural roads. Learn why our AADT Canada metrics are fast, easy, and more affordable than traditional traffic counters.

Big Data is a critical tool for transportation, but we must make sure that privacy is protected. Here is how we deliver the analytics required to solve the overwhelming transportation challenges confronting our communities, in a way that protects consumer privacy.

A higher sample size yields better results. That’s why we’ve doubled our typical sample size since last month, and more than quadrupled it since last year. This reflects general growth in new devices and new apps in our supply chain.

Interested in innovative data visualization techniques? Find out why we're inspired by chord diagrams and discover 5 of our favorite examples in this blog article.

Feeling overwhelmed by Big Data? Discover the three steps planners must take to use Big Data effectively as a transportation planning tool.

Location-based services data offers better coverage in rural areas than cellular data - just one more reason it's great for transportation.