Digital Communications

This deep learning model can help prevent traffic crashes - here's how it works

“If people can use the risk map to identify potentially high-risk road segments, they can take action in advance to reduce the risk of trips they take." - MIT CSAIL PhD student Songtao He. Image: UNSPLASH/Kyle Murfin

Rachel Gordon

Writer, MIT News

Share:

Our Impact
The Big Picture
Explore and monitor how Digital Communications is affecting economies, industries and global issues
Crowdsource Innovation
Get involved with our crowdsourced digital platform to deliver impact at scale

Stay up to date:

Digital Communications

Caption:A dataset that was used to create crash-risk maps covered 7,500 square kilometers from Los Angeles, New York City, Chicago and Boston. Among the four cities, L.A. was the most unsafe, since it had the highest crash density, followed by New York City, Chicago, and Boston Image: MIT CSAIL
To evaluate the model, the scientists used crashes and data from 2017 and 2018, and tested its performance at predicting crashes in 2019 and 2020. Many locations were identified as high-risk, even though they had no recorded crashes, and also experienced crashes during the follow-up years. Image: MIT CSAIL

Have you read?

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

Related topics:

Digital CommunicationsFourth Industrial RevolutionTechnological TransformationEmerging Technologies

Share:

Global Agenda

The Agenda Weekly

A weekly update of the most important issues driving the global agenda

Subscribe

You can unsubscribe at any time using the link in our emails. For more details, review our privacy policy.

The four key ways disinformation is spread online
About Us
Events
Media
Partners & Members
Language Editions

Privacy Policy & Terms of Service

© 2022 World Economic Forum