IoT Innovators: Data Driven Transportation and Traffic Solutions

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In this episode of IoT Innovators, we explore how AI analytics and IoT data are reshaping traffic and transportation systems across planning and operations. Experts Katy Salamati and Juthika Khargharia discuss how State and Local Governments are using SAS' advanced analytics to address transportation and traffic congestion.

The discussion centers on two high impact use cases.

• Transportation planning with digital twins. Digital twins help agencies simulate demand growth test scenarios and understand long term impacts before making major capital investments.
• Real time traffic signal optimization. AI driven signal timing improves traffic flow reduces delay and lowers emissions by responding to actual conditions instead of fixed schedules.

Beyond the use cases, the episode addresses everyday realities leaders face. Data quality gaps, sensor inconsistency and operational constraints directly influence what analytics delivers. The conversation ties analytics design deployment and integration to outcomes leaders care about including travel time reliability system performance and public trust.

You will leave with a clear view of where AI delivers value today, how planning and operations reinforce each other and what first steps matter most when modernizing traffic systems.

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