The Texas A&M Transportation Institute (TTI) is an agency of the State of Texas and a member of the Texas A&M University System. Its team of 600 professionals, students, and support staff has a long history of supporting the Texas Department of Transportation (TxDOT) as an independent third party and presenting objective, practical results.

Using Wejo, TTI can turn data into information and information into intelligence to effectively guide decision-making at TxDOT. TTI applies Wejo's connected vehicle data across a range of projects, addressing everything from safety and mobility to measurement and operations.

One of those projects was in Odessa, Texas, where TxDOT was looking to install a median barrier. As they embarked on the project, TxDOT looked to TTI to evaluate which median openings, including formal paved pass overs and unofficial dirt paths, were used more than others. TTI used Wejo's high-frequency data, updated every three seconds, to look at U-turns and left turns on the 50+ miles of highway to determine trends. As a result, they were able to understand how paths were being used at a granular level and provide that insight to TxDOT for use in determining the best plan for the barrier.

Tune in to the full customer story to hear more about how TTI uses Wejo.  

"Using Wejo data at TTI has been exciting and interesting because we are not just using it to look at median openings, we are also looking at it to see if we can improve or predict where crashes are going to occur, and looking at signal performance, pavement conditions – all these different things. That to me is evidence of how well connected vehicle data has impacted TTI. It's another data source that fills in the gap in all these areas."

- Michael Martin, Assistant Transportation Researcher, TTI

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