Monitoring public adherence to social distancing guidelines with traffic data

Liz Roten for Metropolitan Council, 2019

Abstract

To estimate public adherence to social distancing guidelines during the Coronavirus outbreak, we analyzed departures from “typical” traffic volumes on the metro freeway system of the Twin Cities region. A robust modeling approach, open-source code repository, and web-based dashboard for interacting with the data are assisting decision makers in Minnesota as they update social distancing guidelines and monitor economic recovery.

Date
2020-10-28 12:00 AM
Liz Roten
Liz Roten
Data Scientist & Cartographer

My favorite food is eggplant.

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