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City updates: Georgia Tech collaborations, Grid Logic pilot and online business license work

5778202 · September 10, 2025

Summary

Marietta staff described several Georgia Tech projects — a digital‑twin transportation model, predictive evacuation analysis and Grid Logic for Marietta Power — and reported work to move occupational‑license and budget forecasting systems online.

City staff described multiple technology and research partnerships with Georgia Tech at the Aug. 13 agenda review, including a student project to prototype a digital twin of the transportation network, a predictive evacuation study for the Marietta Square, and a Grid Logic pilot for Marietta Power that uses artificial intelligence for grid monitoring.

In addition, the business license division is working with IT and Georgia Tech students to streamline occupational license workflows and move more application and renewal processes fully online.

A city staff member described a project with about nine Georgia Tech students to model infrastructure and traffic volumes to help predict the effects of traffic‑management changes, short‑term lane closures or timing adjustments. The students will produce a presentation at the end of the semester, staff said.

Chief Bean and other staff described a Georgia Tech‑led predictive analysis to estimate where crowds would move naturally during an emergency evacuation on the square; staff said the results will guide safety planning for events.

Separately, a recorded presentation described a partnership called Grid Logic, a research test bed with Georgia Tech and the Georgia Tech Research Institute to explore AI‑driven monitoring and resilience measures for Marietta Power. Staff described Grid Logic as a next step beyond earlier Marietta grid research and said the stated outcome is to increase grid resilience and monitoring capability.

Bettina (parks/IT liaison) and other staff outlined two Georgia Tech projects in parks and public works: one using attendance and program data (and third‑party data such as Placer.ai) to predict park maintenance needs, and another evaluating community engagement channels.

On licensing, staff said the city has implemented online processing for many new applications and renewals, and is working to meet a 30‑day processing expectation by streamlining internal workflows and integrating payment and application intake online.

Council members did not vote on these pilot projects during the agenda review; staff will return with deliverables and any contract or data‑sharing agreements that require council approval.

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