search menu flickr twitter phone angle-left angle-right angle-up angle-down file-pdf link-ext doc-inv sitemap location map calendar credit-card clock facebook-squared minus plus cancel ok instagramm download inkwell

Predicting Crash Risk Using Crowdsourced Data

Predicting Crash Risk Using Crowdsourced Data

Hear how U.S. DOT Volpe Center researchers are applying Waze for Cities data to help predict crash risk on state highways and local roadways. The Volpe Center has found that the addition of crowdsourced crash reports from Waze has improved the accuracy and reliability of their models. In this session participants will also learn about other data types and tools available through the free Waze for Cities program.

Waze for Cities is Waze’s free two-way data exchange for governments, the program currently has over 1600 partners from around the globe. There will be time for Q&A with Volpe Center and Waze staff for both existing Waze for Cities partners and Designing Cities attendees interested in joining.

If you’re interested in attending, please RSVP to Andrew Stober, US Public Sector Partnerships for Waze: [email protected] and Andrew will add you to the meeting invite.

Presented by Waze

Friday, December 4
2:15 PM ET | 11:15 AM PT
Registered attendees only

Browse the Designing Cities 2020 NACTO & Sponsor Library >>