AI-Driven Traffic Management

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By Janice Mak, Paola Moreno-Roman, Yakaira Núñez, Carolina Ramôa, Susanne Tedrick

Utah’s Depart of Transportation (UDOT) uses various traffic management technologies; however, these technologies are not part of a shared data or governance framework. This project recommends that Utah’s Office of Artificial Intelligence Policy (OAIP) manage a pilot initiative to evaluate how the traffic technologies function together at an intersection. A contracted subject matter expert could assess the technologies to identify operational redundancies and evaluate their compliance with privacy regulations. This pilot would aim to not only centralize UDOT’s traffic technologies but also provide guidance on whether UDOT’s infrastructure is ready for further AI integrations.

This project was completed as part of the 2025 Policy Primer, an Aspen Policy Academy program that teaches early to mid-career professionals how to impact policy.

Download the Executive Summary

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