The world in motion on your desktop — our data makes it possible

This page serves as a review of StreetLight Insight® Metrics, methodologies, validations, and recent testimonials from our customers. Any additional questions or concerns can be sent to rfp.team@streetlightdata.com.

The world in motion on your desktop — our data makes it possible

This page serves as a review of StreetLight Insight® Metrics, methodologies, validations, and recent testimonials from our customers. Any additional questions or concerns can be sent to rfp.team@streetlightdata.com.

What Sets StreetLight Apart

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Immediate Access to On-demand Analytics

Access to the StreetLight InSight® web-based platform is available immediately upon contract execution. Transportation professionals get access to all data, from the safety of their (home) office. No more putting staff in harm’s way.

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Multimodal Analytics

StreetLight Insight® measures all major modes (vehicle, truck, bicycle, pedestrian, bus, rail), providing a wealth of insights traditionally reserved for vehicular traffic, including Origin-Destination, top routes, speed, distance, and duration – for any time of day.

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Powering 10,000+ Projects Monthly

StreetLight has been developing analytics and planning tools for mobility analysis since its founding in 2011 and has helped thousands of customers, including DOTs, MPOs, Cities, and Counties throughout the U.S. and Canada.

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Best-in-Class Data

Processing 1.5 billion trips every month from 110 million unique devices, we select the best real-world data sources from a fast-changing, emerging technology landscape, including the largest mobility-relevant source of Location-Based Services (LBS) data. Our diverse supply of data uniquely enables us to provide the best resources and mobility analytics available.

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Unbeatable Support and Services

StreetLight’s training, technical support, and guidance are provided for all customers, with a dedicated success team for Regional Subscriptions. The StreetLight Customer Success Team is unique in its level of commitment to ensuring customers have access to the tools, resources, and support they need to be successful. We’re here with you every step of the way.

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The Leader in Mobility Data Privacy

StreetLight is an industry leader in privacy practices, with a full-time Privacy team, a commitment to Privacy by Design (PbD), and a dedicated VP of Privacy as our third hire. We put robust technical safeguards in place to protect data throughout the production process. Administrative safeguards and training complement these technical safeguards.

  STREETLIGHT DATA INFORMATIONAL FLYERS  

Dive deeper into StreetLight InSight®’s Metrics

The StreetLight InSight® cloud platform gives you 24/7 access to your most critical transportation analytics, for any road and any mode, without deploying surveys or sensors.

We invite you to take a deeper look into a selection of our data offering. Each flyer dives deeper into the use cases, methodology, and validation of our data sets.

LEARN MORE ABOUT OUR METRICS
StreetLight Data Overview
StreetLight's Turning Movement Count Metrics
StreetLight's Bus & Rail Transit Metrics
StreetLight's AADT Metrics
StreetLight Safety Solutions
StreetLight Data Privacy Framework
StreetLight Services
StreetLight Newsroom

  STREETLIGHT DATA INFORMATIONAL FLYERS  

Dive deeper into StreetLight InSight®’s Metrics

The StreetLight InSight® cloud platform gives you 24/7 access to your most critical transportation analytics, for any road and any mode, without deploying surveys or sensors.

We invite you to take a deeper look into a selection of our data offering. Each flyer dives deeper into the use cases, methodology, and validation of our data sets.

StreetLight Data Overview
StreetLight's Turning Movement Count Metrics
StreetLight's Bus & Rail Transit Metrics
StreetLight's AADT Metrics
StreetLight Safety Solutions
StreetLight Data Privacy Framework
StreetLight Services
StreetLight Newsroom
LEARN MORE ABOUT OUR METRICS

  VALIDATION WHITE PAPERS  

Proven Metrics, validated against real-world counts

StreetLight’s transportation analytics depend on complex machine learning algorithms to train them, and validation is a critical component for wide adoption in the industry.

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 THIRD PARTY VALIDATIONS
StreetLight Data Methodology & Data Sources
Larger and More Representative Sample Sizes
Volume Methodology
Speed Validation
AADT Methodology
Bike/Ped Methodology
Bus/Rail Methodology

  VALIDATION WHITE PAPERS  

Proven Metrics, validated against real-world counts

StreetLight’s transportation analytics depend on complex machine learning algorithms to train them, and validation is a critical component for wide adoption in the industry.

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.

StreetLight Data Methodology & Data Sources
Larger and More Representative Sample Sizes
Volume Methodology
Speed Validation
AADT Methodology
Bike/Ped Methodology
Bus/Rail Methodology
EXPLORE THIRD PARTY VALIDATIONS

  CUSTOMER CASE STUDIES  

Active Transportation for Sarasota (Sarasota/Manatee MPO)
Mode Shifting Freight to Decrease Truck Traffic Impact (Stantec)
The Impact of STAR Bond Attractions on Kansas Tourism (Kansas LPA)
Busting Congestion with Big Data in Lafayette (ARUP)
Cost-Effective Congestion Analysis for Fort Lauderdale (Kittelson & Associates)
Demand Modeling for Uber Air (Uber Elevate)
Did Cut-Through Traffic Prevention Measures Help or Hurt (Confidential)
Establishing True Demand for New Air Routes (Alaska Airlines)
Gauging Demand for Intercity Passenger Rail Transport (Steer)
Measuring Congestion Relief Options in Northern Virginia (NVTA)
Pinpointing Visitor Volume at California Park System (NCC)
Quantifying Performance for Seimens’ Adaptive Traffic Signals (Siemens Mobility)
Sharing Regional Transportation Emissions Data (Metropolitan Council)
Tourism Transportation Demand Management in Flagstaff (NAIPTA)
Tulsa MPO Fills Traffic Count Gaps (INCOG)
Bike and Pedestrian Safety for an Equitable City (City of Pittsburgh)
Analytics Secured Federal INFRA Funding for Columbus (City of Columbus)
International Truck Travel in the SoCal Region: Understanding Freight Patterns with Big Data (SANDAG)
Capturing Visitor Patterns for Golden Gate Park (San Francisco Recreation and Parks Department)
Delivering Boston Ride-Hailing Metrics (The Boston Globe)
Detailed Truck Data for Virginia’s Port (HRTPO)
Dwell Time Analysis for National Parks (Fehr & Peers)
Football Hall of Fame Projects Tourism Explosion (Pro Football HOF, Ohio)
Identifying Opportunities for Equitable Transportation Mode Shift (Jacobs)
Optimizing Placement for EV Charging Stations (Siemens)
Quantifying Long-Haul Trucks on Florida’s Highways (AECOM)
Revamping Legacy Transit Routes (Dillon Consulting)
Toll Road Equity Impact in San Diego (Fehr & Peers)
Transit Planning in Toronto (City of Toronto)
Virginia Bike Tourism: Measuring Cycling’s Economic Impact (HRTPO)

  CUSTOMER CASE STUDIES  

Active Transportation for Sarasota (Sarasota/Manatee MPO)
Mode Shifting Freight to Decrease Truck Traffic Impact (Stantec)
The Impact of STAR Bond Attractions on Kansas Tourism (Kansas LPA)
Busting Congestion with Big Data in Lafayette (ARUP)
Cost-Effective Congestion Analysis for Fort Lauderdale (Kittelson & Associates)
Demand Modeling for Uber Air (Uber Elevate)
Did Cut-Through Traffic Prevention Measures Help or Hurt (Confidential)
Establishing True Demand for New Air Routes (Alaska Airlines)
Gauging Demand for Intercity Passenger Rail Transport (Steer)
Measuring Congestion Relief Options in Northern Virginia (NVTA)
Pinpointing Visitor Volume at California Park System (NCC)
Quantifying Performance for Seimens’ Adaptive Traffic Signals (Siemens Mobility)
Sharing Regional Transportation Emissions Data (Metropolitan Council)
Tourism Transportation Demand Management in Flagstaff (NAIPTA)
Tulsa MPO Fills Traffic Count Gaps (INCOG)
Bike and Pedestrian Safety for an Equitable City (City of Pittsburgh)
Analytics Secured Federal INFRA Funding for Columbus (City of Columbus)
International Truck Travel in the SoCal Region: Understanding Freight Patterns with Big Data (SANDAG)
Capturing Visitor Patterns for Golden Gate Park (San Francisco Recreation and Parks Department)
Delivering Boston Ride-Hailing Metrics (The Boston Globe)
Detailed Truck Data for Virginia’s Port (HRTPO)
Dwell Time Analysis for National Parks (Fehr & Peers)
Football Hall of Fame Projects Tourism Explosion (Pro Football HOF, Ohio)
Identifying Opportunities for Equitable Transportation Mode Shift (Jacobs)
Optimizing Placement for EV Charging Stations (Siemens)
Quantifying Long-Haul Trucks on Florida’s Highways (AECOM)
Revamping Legacy Transit Routes (Dillon Consulting)
Toll Road Equity Impact in San Diego (Fehr & Peers)
Transit Planning in Toronto (City of Toronto)
Virginia Bike Tourism: Measuring Cycling’s Economic Impact (HRTPO)

Hear from our customers

View our YouTube channel for more use cases, testimonials, and product explainer videos.

Gregerson Video
Schiffer Video
Brown Video

Chris Gregerson with Kimley-Horn & Associates discusses the many applications of StreetLight Data, including modeling intersection turning movement volumes, trip length for VMT, cut-through traffic, and many more. Gregerson also shares how StreetLight has filled data gaps during the COVID-19 pandemic, and when historical data was missing.

Rob Schiffer, with FuturePlan Consulting, shares his work developing a Mobility Plan and Impact Fee for Walton County, Florida. In this project, StreetLight Data allowed Schiffer and his team to quickly analyze county travel demand and better understand seasonal variations in travel patterns.

Ryan Brown, with the Sarasota/Manatee MPO, discusses how StreetLight Data supported the development of the MPO’s Active Transportation Plan by defining transit trip patterns for all income levels, over eight different time periods, across the two counties. This nuanced data helped Brown and his team prioritize bike, pedestrian, and transit projects for this region planning effort.

Gregerson Video

Chris Gregerson with Kimley-Horn & Associates discusses the many applications of StreetLight Data, including modeling intersection turning movement volumes, trip length for VMT, cut-through traffic, and many more. Gregerson also shares how StreetLight has filled data gaps during the COVID-19 pandemic, and when historical data was missing.

WATCH VIDEO
Schiffer Video

Rob Schiffer, with FuturePlan Consulting, shares his work developing a Mobility Plan and Impact Fee for Walton County, Florida. In this project, StreetLight Data allowed Schiffer and his team to quickly analyze county travel demand and better understand seasonal variations in travel patterns.

WATCH VIDEO
Brown Video

Ryan Brown, with the Sarasota/Manatee MPO, discusses how StreetLight Data supported the development of the MPO’s Active Transportation Plan by defining transit trip patterns for all income levels, over eight different time periods, across the two counties. This nuanced data helped Brown and his team prioritize bike, pedestrian, and transit projects for this region planning effort.

WATCH VIDEO