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.
Boost station performance and profits with recent traffic-driven insights
Select and manage optimal locations with the latest nationwide traffic counts.
Get traffic counts updated monthly, covering highways, downtown corridors, and even rural roads for site selection.
Incorporate local and regional truck routes in addition to personal vehicle activity to forecast demand for both gas and diesel.
Understand current travel patterns, demographics, and penetration of electric vehicles to choose where to install EV charging infrastructure.
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
Get startedDelivering a sustainable transportation solution for NEVI plans
Learn moreFor 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.
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.
StreetLight for Fuel Retail and EV Charging: At a glance
Get startedAnalyze traffic counts and vehicle miles traveled (VMT) covering more than 5 million miles across North America.
Get localized or long-distance origin-destination travel patterns cars or trucks.
Travel by direction and speed help prioritize the best side-of-street, and trip distances reveal potential fueling or charging stops.
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.
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.
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.
Make data-driven decisions on the best sites with the latest traffic counts covering the U.S. and Canada.
Harness recent region-wide transportation data to plan EV infrastructure that taps into the fast-growing market demand.
Track detailed commercial truck activity across a city or entire region to manage logistics networks and forecast future fleet demand.
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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Case studies, data-driven research, and timely articles to learn how StreetLight helps solve fuel retail and EV infrastructure planning challenges.
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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.
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.
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.
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.
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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