You have collision data for your city, state, or region. We help you overlay it with detailed vehicular, bicycle, and pedestrian metrics to identify where to act first to improve safety
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You have collision data. Chances are, there are too many locations to address all at once.
You need collision rates to prioritize locations with the highest exposure. However, capturing volume data is time-consuming and expensive, especially for bikes and pedestrians.
Just for the bicycle mode, San Francisco recorded over 1,400 injury collisions in the last three years. But with only 75 bike counters, the city had limited coverage of its 1,200 miles of roadway, making fact-based prioritization very difficult.
You have collision data. Chances are, there are too many locations to address all at once.
You need collision rates to prioritize locations with the highest exposure. However, capturing volume data is time-consuming and expensive, especially for bikes and pedestrians.
Just for the bicycle mode, San Francisco recorded over 1,400 injury collisions in the last three years. But with only 75 bike counters, the city had limited coverage of its 1,200 miles of roadway, making fact-based prioritization very difficult.
We provide volume for all roadways to help you prioritize safety investments with empirical data
StreetLight measures volume for all modes – for every road across your city, region, or state – with vehicle speed, demographics, even purpose of travel only a few clicks away, providing rich context for your safety analyses.
In the example of San Francisco, overlaying collisions with bike volume narrows 1,400 locations to a subset of approx. 200 with the highest exposure, which can be prioritized for safety improvements.
We provide volume for all roadways to help you prioritize safety investments with empirical data.
StreetLight measures volume for all modes – for every road across your city, region, or state – with vehicle speed, demographics, even purpose of travel only a few clicks away, providing rich context for your safety analyses.
In the example of San Francisco, overlaying collisions with bike volume narrows 1,400 locations to a subset of approx. 200 with the highest exposure, which can be prioritized for safety improvements.
Volume, speed, turning movements – all at your fingertips
Zero in on opportunities to reduce fatalities
Overlay your collision data with our AADT or bike and ped metrics – and use our speed metric to diagnose problems further.
Get turning movements for high-collision corridors
Use StreetLight Insight® to analyze turning movements at scale, to evaluate if adding turn lanes could reduce collisions.
Overlay vehicular and active modes in a single platform
Identify high-risk locations across the region where cars, bicycles, or pedestrians interact the most.
Pinpointing bike safety opportunities across California
CASE STUDY
New active transportation plan for this Florida MPO
Providing safe options for bikers, pedestrians and transit riders starts with knowing where they’re headed.
Read this case study to see how the Kittelson team used StreetLight to map the top Origin-Destination pairs by day of week, time of day, and income level — without the expense and delay of surveys.
FROM OUR TWITTER FEED
U.S. DOT RoadCode Stage II finalist uses StreetLight’s data
U.S. DOT’s Solving for Safety Challenge was designed to create solutions powered by visualizations to reduce serious crashes on the nation’s roads and rails.
Learn more about FORD Motor Company’s solution designed to help decision makers uncover insights about safety opportunity areas, simulate potential interventions, and evaluate predicted impact.
Explore our Safety Data Package
Talk to us about using StreetLight’s safety data package to improve vehicular and active mode safety in your city, region, or state.