FlowMo Technologies, Inc.

Providing speed guidance to connected vehicles and drivers to improve traffic flow and reduce energy consumption

What is FlowMo?

Traffic jams and pollution? We help both with AI.

FlowMo is a UC Berkeley and Vanderbilt University spinoff, providing realtime speed guidance to help drivers navigate congestion more smoothly, reducing fuel costs, maintenance expenses, and driver stress. If you have ever encountered a temporary traffic jam for no apparent reason, this might have been a "phantom jam" that occurred naturally because of human driving behavior.

The founding team's prior field deployments have demonstrated that phantom jams can be reduced using autonomous vehicle technologies and specially-designed algorithms, thereby achieving 15-20% energy reduction, 85% reduction in hard-braking events, 30% smoother rides, and 80% reduction in stoppage time.

News

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TechXplore

Massive traffic experiment pits machine learning against 'phantom' jams

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PR Newswire

AI-powered cruise control system may pave the way to fuel efficiency and traffic relief

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Vanderbilt News

AI-powered cruise control system may pave the way to fuel efficiency and traffic relief

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Popular Science

An AI that lets cars communicate might reduce traffic jams

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Fortune

You’re a worse driver than a robot: Research shows gaper blocks and looky-loos aren’t an issue with AI

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The Associated Press

Researchers: AI in connected cars eased rush hour congestion

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Berkeley News

Massive traffic experiment pits machine learning against ‘phantom’ jams

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Motor

World's largest open-track traffic experiment being conducted in Nashville Nov. 14-18