Aspen Policy Academy

AI-Powered Dynamic Pricing

By Nishchal ChaudharyDesiree JunfijiahSarayu MadhiyazhaganSanur SharmaIris Vold

Salt Lake City’s metropolitan area faces increasing traffic congestion, leading to prolonged commute times and air pollution. This project recommends that Utah’s Office of Artificial Intelligence (OAIP) partner with Utah’s Department of Transportation and the Utah Transportation Authority to launch an AI-driven dynamic pricing and optimization pilot for public transit. By integrating the agencies’ datasets, the OAIP could harness historical and real-time commuter data to produce AI-generated predictions of peak congestion periods and areas.

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.

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