The Volpe Center for Transportation Research uses Waze data to help states focus enforcement and first responder resources in high-risk areas

Better predicting, preventing, and responding to accidents

Traditional data sets sourced from police department crash reports weren’t providing the Tennessee Highway State Patrol with enough information to predict which roadways would need more patrols to prevent or respond to crashes. The Volpe Center’s Safety Data Initiative uses crowdsourced, up-to-date Waze accident report data to feed their machine learning algorithm, more accurately predicting crashes and deploying resources.

Building a comprehensive model for highway safety

With Waze data updated every two minutes, the Volpe Center data science team can predict the time and location of interstate crashes using grid models. Knowing where and when collisions are most likely to occur means highway patrols can more accurately allocate resources, targeting dangerous driving to prevent collisions and improving response times when they do occur.

Help your patrols help the community with Waze data

Waze for Cities partners can connect with the Volpe Center to learn how to improve their roadway and crash data at https://www.transportation.gov/data/secure.