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Location intelligence for EV charging and fueling

Site and manage your stations with the most trusted traffic data

Access up-to-date, deep location intelligence to effectively manage and locate fueling infrastructure, EV charging stations, and convenience retail offerings.

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Boost station performance and profits with recent traffic-driven insights

Select and manage optimal locations with the latest nationwide traffic counts.

1
Ensure up-to-date insights

Get traffic counts updated monthly, covering highways, downtown corridors, and even rural roads for site selection.

2
Analyze vehicle profiles

Incorporate local and regional truck routes in addition to personal vehicle activity to forecast demand for both gas and diesel.

3
Anticipate electric vehicle demand

Understand current travel patterns, demographics, and penetration of electric vehicles to choose where to install EV charging infrastructure.

4
Rely on EV market expertise

Access insights relied on by mobility companies, power utilities, and public sector experts for NEVI and EV charging infrastructure strategy and planning.

Improve location intelligence with trusted traffic insights to make more profitable decisions

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Station site selection

Manage your real estate portfolio to locate stations where potential customers are driving by, with travel by direction, speed, and time of day.

Demand forecasting

More accurately forecast sales of fuel, retail, and services based on traffic counts contextualized with trip features and demographics.

Region-wide EV analysis

Get a view of current vehicle travel across your entire portfolio to understand where future electric vehicles will need charging infrastructure by roadway or zip code.

Fleet preparation

Analyze current truck travel patterns by weight class and trip type to manage diesel infrastructure and plan for expanding fleet electrification.

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Delivering a sustainable transportation solution for NEVI plans

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The challenge

For the rapid expansion of EV infrastructure under the NEVI program, Nevada DOT (NDOT) wanted to use a modern and informed data analytical approach. Jacobs and StreetLight were tasked with planning a resilient network and helping NDOT identify locations and prioritize investments to optimize benefits for their communities.

Data-based solution

StreetLight’s software helped analyze travel patterns, traffic volumes, trip purposes, and demographics along interstates and select U.S. routes. Insights informed decisions to support public outreach and stakeholder engagement, promoting equitable distribution of funds and meeting current Justice40 requirements. NDOT will continue to use EV analytics to support the deployment plan.

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StreetLight for Fuel Retail and EV Charging: 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

Travel by direction and speed help prioritize the best side-of-street, and trip distances reveal potential fueling or charging stops.

Temporal granularity

Reveal seasonal trends with traffic counts by day of week and hour of day for any month throughout the year and monitor changes over time.

EV market expertise

Mobility companies, power utilities, and public sector experts across the country rely on StreetLight’s insights and expert data scientists for EV charging network strategy and planning.

Multiple data delivery options

Location 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 site selection and infrastructure management challenges.

Real Estate and Retail

Make data-driven decisions on the best sites with the latest traffic counts covering the U.S. and Canada.

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EV Charger Deployment

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

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Logistics

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

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Energy and Power

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

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Resources

Explore our library

Case studies, data-driven research, and timely articles to learn how StreetLight helps solve fuel retail and EV infrastructure planning challenges.

Our customers

See why they chose StreetLight

As MassDOT plans its electrification transition…it made a lot of sense to base both [their and our] analyses on StreetLight to…have consistency between the transportation agency and the infrastructure side.
Gerhard Walker
Manager of Advanced Forecasting and Modelling, Eversource
[….] As a result of this process, we can build a resilient network, plan for future needs and ensure equitable access.
Kandee Bahr Worley
Division Chief of NV2X Planning, Nevada DOT
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 the StreetLight’s fuel retail and EV charging features, benefits, and more.

What is location intelligence, and why is it crucial for EV charging?

Location intelligence refers to data gathered on the activity of potential customers at or near a particular location, which businesses may use to evaluate where demand for their products and services may be highest, and determine the optimal operations to maximize revenue at existing locations within their real estate portfolio.

When it comes to EV charging, location intelligence analytics such as vehicle volumes, Origin-Destination patterns, trip speeds, travel times, and other data can provide businesses information on where and when EV drivers are likely to stop and charge, how long they will charge, and how charging behaviors will impact the electric grid.

How to find the optimal placement of EV charging stations?

Understanding existing driving patterns is key to finding the optimal placements for EV charging stations. Data on how far people tend to drive, the routes they take, the time spent idling during their trip, and the EV market penetration rates for a given area can all be used to measure current charging demand in a specific location as well as predict how that demand will change as EV adoption rises. This can help businesses and agencies deploy new EV charging stations where demand is high and existing infrastructure is not already available to meet that demand.

How does location intelligence for fuel retail work?

Fuel retailers can use StreetLight’s EV location intelligence to take a data-driven approach when choosing the best new store locations, predicting fuel sales, evaluating the pros and cons of adding new products and services (including EV charger installation), optimizing staffing operations, and more.

StreetLight’s vehicle activity data not only assists fuel retailers in making critical revenue-impacting decisions but also enables them to differentiate between truck and personal vehicle activity to accurately gauge demand for various fuel types in a given area.

What are the benefits of using location intelligence for EV charging?

Leveraging location data for EV charging not only enables businesses and agencies to identify the most impactful and profitable locations for new EV chargers, it also enhances communication with public and private stakeholders, helps inform charging fee structures, forecasts when and where infrastructure upgrades or repairs may be needed, and can be used to anticipate grid load to ensure electric supply is always available to meet 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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