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Flow Labs Helps Utah DOT Reduce Vehicle Delay by 29% – a Wejo Smart Mobility For Good ™ Case Study

December 10, 2021
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Flow Labs' Predictive Traffic Control AI software provides transportation agencies with a more resource efficient way to make roads safer and reduce traffic through end-to-end traffic signal management. The process to monitor and update traffic signal timing is typically highly manual and expensive, often requiring up to 70 hours of expert labor per intersection and installation of costly hardware sensors. For this reason, traffic signals are updated once every five years.

Case study

For Flow Labs' Predictive Traffic Control platform to measure and optimize signal timing, it required reliable and accurate data on what is happening on the roads at any given time. And traditional IoT hardware sensors were not providing it.

By integrating Wejo connected vehicle data (CVD) into its data set, Flow Labs' virtual sensors could generate volume accuracy of 94.4%.

But how did we do it? Read the full case study to discover the full challenges, our solution and results.

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Flow Labs Helps Utah DOT Reduce Vehicle Delay by 29% – a Wejo Smart Mobility For Good ™ Case Study
customer story

customer story

Flow Labs Helps Utah DOT Reduce Vehicle Delay by 29% – a Wejo Smart Mobility For Good ™ Case Study

No items found.

Join the community

By clicking submit you consent to sharing your data with wejo for the purposes of contacting you regarding wejo’s products and services

Wejo Mobility Roundtable
Thanks for joining
Something went wrong while submitting the form

Already registered? Book a meeting with us

By clicking submit you consent to sharing your data with wejo for the purposes of contacting you regarding wejo’s products and services

THANK YOU
We will be in contact soon to book a meeting
Something went wrong while submitting the form

Enter your details for more information about Wejo’s solutions or to discuss how we can help you meet the challenge of Massachusetts Right to Repair 

By clicking submit you consent to sharing your data with wejo for the purposes of contacting you regarding wejo’s products and services

Thank you, we will be in contact soon.
Something went wrong while submitting the form

Flow Labs' Predictive Traffic Control AI software provides transportation agencies with a more resource efficient way to make roads safer and reduce traffic through end-to-end traffic signal management. The process to monitor and update traffic signal timing is typically highly manual and expensive, often requiring up to 70 hours of expert labor per intersection and installation of costly hardware sensors. For this reason, traffic signals are updated once every five years.

Case study

For Flow Labs' Predictive Traffic Control platform to measure and optimize signal timing, it required reliable and accurate data on what is happening on the roads at any given time. And traditional IoT hardware sensors were not providing it.

By integrating Wejo connected vehicle data (CVD) into its data set, Flow Labs' virtual sensors could generate volume accuracy of 94.4%.

But how did we do it? Read the full case study to discover the full challenges, our solution and results.

Contacts
No items found.
By clicking submit you consent to sharing your data with Wejo for the purposes of contacting you regarding Wejo’s products and services
Privacy policy >
Flow Labs Helps Utah DOT Reduce Vehicle Delay by 29% – a Wejo Smart Mobility For Good ™ Case Study
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