Get validated transportation metrics right on your desktop, and deliver on time and under budget
For transportation planners who need to carry out their mission despite COVID’s challenges, StreetLight provides the only single source of validated, 24/7 multimodal transportation metrics that allow you to deliver projects from your (home) office.
TRANSPORTATION AGENCIES
Get validated transportation metrics right on your desktop, and deliver on time and under budget
For transportation planners who need to carry out their mission despite COVID’s challenges, StreetLight provides the only single source of validated, 24/7 multimodal transportation metrics that allow you to deliver projects from your (home) office.
Trusted by transportation agencies since 2011
With projects in 48 states and Canada, our metrics have been used and validated by hundreds of agencies and transportation firms
Critical metrics for any zone, at your fingertips
Origin-Destination for multiple modes
Get hourly O-D data for motorists, cyclists, or pedestrians for any geographic zone, from entire cities to city blocks to individual roads or intersections.
Volume, speed, duration, and more
Need AADT for a local traffic study or a whole region? Need to measure congestion or inform your constituents? Our 24/7 metrics are all on-demand.
Demographics,
social equity
Struggling to collect robust survey data or constituent input? Use our income, race, and mobility metrics at the zone level to ensure equitable access.
“The StreetLight platform provides LADOT with aggregate, privacy-safe, historical data on vehicle activity for the entire city which showed a 30% reduction in city-wide volumes when LAUSD schools closed [during COVID-19], aligning with our vehicle count data at 12 intersections.”
RUBINA GHAZARIAN
Supervising Transportation Planner II
LADOT
WATCH PRESENTATION
“The StreetLight platform provides LADOT with aggregate, privacy-safe, historical data on vehicle activity for the entire city which showed a 30% reduction in city-wide volumes when LAUSD schools closed [during COVID-19], aligning with our vehicle count data at 12 intersections.”
RUBINA GHAZARIAN
Supervising Transportation Planner II
LADOT
WATCH PRESENTATION
Proven metrics, validated against real-world counts
Reliable Big Data metrics depend on complex machine learning that trains StreetLight’s proprietary algorithms, and validation is a critical component of wide adoption.
We invite you to explore our white papers that walk through how our metrics continue to be validated repeatedly against independent public and private data sets.
EXPLORE WHITE PAPER LIBRARY
Proven metrics, validated against real-world counts
Reliable Big Data metrics depend on complex machine learning that trains StreetLight’s proprietary algorithms, and validation is a critical component of wide adoption.
We invite you to explore our white papers that walk through how our metrics continue to be validated repeatedly against independent public and private data sets.
Hear from our customers
“Traditional data informs peak hours and key streets only – but cities run around the clock on all streets. StreetLight provides highly accurate 24/7/365 data to understand mobility patterns anytime, anywhere in the city.”
“Using StreetLight to analyze trucking at the Port of Virginia confirmed our investment in a billion-dollar mega-project on I-64.”
“Without StreetLight’s AADT metrics, we would have no arterial streets data for the Tulsa, Oklahoma MPO.”
“Traditional data informs peak hours and key streets only – but cities run around the clock on all streets. StreetLight provides highly accurate 24/7/365 data to understand mobility patterns anytime, anywhere in the city.”
DEWAN KARIM
Former Senior Transportation Planner
City of Toronto
READ CASE STUDY
“Using StreetLight to analyze trucking at the Port of Virginia confirmed our investment in a billion-dollar mega-project on I-64.”
ROBERT CASE, PE, PHD
Chief Transportation Engineer
Hampton Roads, Virginia
READ CASE STUDY
“Without StreetLight’s AADT metrics, we would have no arterial streets data for the Tulsa, Oklahoma MPO.”
NIMISH DHARMADHIKARI PHD, GISP
Transportation Modeling Coordinator
INCOG
READ CASE STUDY
Talk to us about your next project
Let’s discuss how you can get access to on-demand data to power your transportation projects.
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