Traffic Data Analytics | StreetLight Data

Businesses incorporate StreetLight’s industry-leading road traffic data solutions via software, API, or bulk data delivery to make more profitable location intelligence and mobility strategy decisions.

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The most widely adopted transportation data platform, with 1M+ projects and counting

Big data for your industry

Products for businesses

Get industry-leading traffic data to drive your company forward.

Air, bus, and rail

Use nationwide origin-destination travel patterns to plan routes and services that capture long-distance travel demand.

Automotive

Forecast demand for new technologies like EVs, hydrogen fuel cells, AVs, and more based on the most up-to-date nationwide travel patterns.

Energy and power

Future-proof grid infrastructure using detailed traffic data to forecast EV demand by day part and location across your service area.

Fuel and EV charging

Effectively manage fueling infrastructure, EV charging stations, and convenience retail based on validated coast-to-coast traffic counts for cars and trucks.

Finance and asset management

Make confident investment decisions based on recent, validated data about how the market moves.

Logistics

Track detailed commercial truck activity across a city or entire region to manage logistics networks and forecast future fleet demand.

New mobility

Forecast demand for shared mobility, autonomous vehicles, or eVTOL services based on real-world travel behavior for all modes.

Real estate and retail

Select the best sites with the latest traffic counts covering the U.S. and Canada.

Technology

Integrate industry-leading mobility data into your apps, products, and platforms to create better experiences for your users.

In effect, we went back in time to gather information that we had no other way to obtain.

Wendy Tao

Head of Smart Cities, Siemens Intelligent Transportation Systems

Access the industry’s deepest repository of transportation data

Leverage data science-backed insights

StreetLight processes more than 7 billion trips monthly to build detailed transportation metrics based on hundreds of data sources.

View travel nationwide

Analyze traffic patterns for an entire region or zoom in on specific roads and intersections to understand mobility at any geographic granularity.

Plan confidently for the future

Recent validated traffic activity helps you more accurately forecast the business impacts of future travel behavior.

FAQs

Answers to questions you may have

Discover everything about StreetLight’s products for businesses, including features, benefits, and more.

What are traffic data analytics?

Traffic data analytics like those provided by StreetLight turn thousands of data points from connected vehicles and the Internet of Things into information about traffic patterns, mapped onto road networks across the U.S. and Canada.

Using metrics like vehicle volumes, vehicle speeds, Vehicle Miles Traveled (VMT), Vehicle Hours of Delay (VHD), and more, businesses can understand potential customers’ travel behaviors and how they might impact demand for their products, visits to their locations, or partnerships with public entities.

What types of data are used when analyzing traffic data?

There are a wide variety of historical and real-time data metrics to help businesses gain insight into mobility patterns impacting their business, including Origin-Destination (O-D) patterns, vehicle volumes, vehicle speeds, VMT, VHD, bike and pedestrian activity, Annual Average Daily Traffic (AADT), and travel times.

Who can benefit from traffic data analytics?

Analyzing traffic data can help a variety of businesses make more profitable decisions about their real estate portfolio, new products and services, retail operations, events management, pricing structures, and more. Retailers and restaurants, fuel retailers, Research & Development teams, business consultancies, utilities, and auto OEM businesses are just a few common examples.

What are some common applications of traffic data analytics?

Businesses often use this insight to determine the best locations for new stores, decide whether to add EV chargers to existing locations, forecast electric grid demand from rising EV use, predict where and when demand will be highest for auto parts and services, understand how traffic disruptions impact customer visits to their locations, or make informed decisions about staffing and operating hours.