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Automotive data analytics

Design future-forward vehicles and mobility solutions

Ensure R&D roadmaps for electric vehicles, hydrogen fuel cell technology, autonomous vehicles, and more are based on nationwide automotive data.

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Forecast demand for new automotive technologies based on the most up-to-date driving patterns

Validated transportation data analytics that help your automotive business plan for new technologies, new business models, and future travel behaviors.

1
Analyze activity for all vehicles

Leverage vehicle and truck data that represents all travel activity across multiple automotive brands.

2
Anticipate demand for new technologies

Understand current travel patterns, penetration of EVs, and trends in hydrogen fuel cells to forecast demand for non-gas-powered vehicles.

3
Use defensible data

Trust that insights are validated against permanent counters and by transportation agencies across the U.S. and Canada.

Deploy nationwide data to ensure products and services capitalize on customers’ driving and fueling behaviors

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Product development

Estimate market share of different automotive technologies across the country to inform R&D and investments.

Market disruptions

Leverage nationwide volumes and VMT to track the impact of seasonality or changing mobility habits on driving activity and anticipate business results.

Parts and services

Forecast demand for your parts and services, and manage your real estate portfolio and supply chain, based on how and where people drive nationwide.

Fleet planning

See how many cars and trucks are on the road – and where they’re coming from and going to – to incorporate expanding fleet activity into your planning.

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VMT statistics to measure recovery ramp post-COVID-19

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The challenge

Boston Consulting Group (BCG) analyzed the impact of stay-at-home orders on car travel behavior during the early months of the COVID-19 pandemic. They needed automotive analytics like vehicle miles traveled (VMT) data at varying geographic levels nationwide to understand how policies impacted actual car and commercial truck trips as well as to estimate how they affected tax revenues.

Data-driven solution

BCG created a “Trip Reduction Index” using StreetLight’s VMT automotive data to measure adherence to stay-at-home policies in each state, county, and MSA. They also used demographic data to determine that a key correlating factor for trip reductions was household income—likely because higher-wage workers were able to work from home. They then estimated the impact of VMT decreases on budgets and saw that California, Florida, and Texas saw the largest daily gas tax losses.

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StreetLight for Automotive: At a glance

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Traffic counts and VMT

Analyze traffic counts and vehicle miles traveled (VMT) covering more than 5 million miles across North America.

Origin-Destination

Get localized or long-distance origin-destination travel patterns cars or trucks.

Trip characteristics

Infer more about your target customers’ needs with contextual features like trip speeds and distances, demographics, and why they’re traveling.

Deepest repository of transportation data

Access a huge and growing repository of vehicle data analytics made up of more than 7 billion trips per month.

Multiple data delivery options

Traffic data can be accessed in the web platform, delivered as a bulk file, or programmatically integrated via dedicated API.

Check out other StreetLight products

Access our full suite of tools and visualizations to solve all your most pressing R&D challenges.

EV Charger Deployment

Harness recent region-wide transportation data to plan EV infrastructure that taps into the fast-growing automotive business market demand.

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New Mobility

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

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GHG Measurement

Set accurate GHG baselines to identify realistic focus areas to reduce carbon emissions.

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Our customers

See why they chose StreetLight

StreetLight’s multimode trip insights combined with our data helped build the foundation for Uber Air.
Ian Villa
Uber Elevate
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
StreetLight provides a cost-effective medium to assess O-D patterns at large scale, with minimum biases, and at a fraction of the cost of traditional surveys.
Lucile Kellis
Head of Data Science and Analytics, Steer
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FAQs

Quick answers to questions you may have

Discover everything about StreetLight’s automotive features, benefits, and more.

What is automotive data analytics?

Automotive data analytics gather data from connected vehicles and the Internet of Things to generate insights about how vehicles move. StreetLight’s platform turns trillions of data points into useful metrics like roadway volumes, Vehicle Miles Traveled (VMT), Origin-Destination patterns, vehicle speeds, trip length, travel times, and more.

How can automotive data analytics benefit my business?

These analytics can help automotive companies and businesses understand how vehicles move today in order to predict customer demand for automotive products and services, stay ahead of emerging trends in vehicle technology like autonomous and electric vehicles, keep up with decarbonization regulations, and more. Automotive businesses use StreetLight analytics to inform product R&D, EV infrastructure deployment, pricing models, freight operations, eVTOL planning, and lots more.

Is your automotive data analytics specific to the automotive aftermarket?

Because StreetLight’s automotive data analytics deliver standardized metrics like vehicle volumes, origin-destination patterns, Vehicle Miles Traveled (VMT), and more, these analytics are used by businesses in the automotive aftermarket industry as well as many other businesses and agencies who also benefit from greater clarity on how vehicles move, and how those patterns impact customer demand.

Do you need data to inform your next project?

Talk to StreetLight about your needs, and join us in shaping a more efficient, sustainable world.

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