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UID:pretalx-qgis-uc2026-GTNNPL@talks.osgeo.org
DTSTART;TZID=CET:20261005T163000
DTEND;TZID=CET:20261005T170000
DESCRIPTION:The Florida’s Turnpike Enterprise (FTE) has re-architected it
 s statewide travel demand modeling platform\, the Turnpike State Model (TS
 M - NextGen)\, by embedding the entire modeling workflow within a custom Q
 GIS plugin interface. This transition represents a fundamental shift from 
 traditional\, fragmented modeling environments toward a fully integrated\,
  open-source\, and GIS-native ecosystem.\nAt the core of this innovation i
 s the use of QGIS not just as a visualization tool\, but as the primary us
 er interface for model configuration\, execution\, and diagnostics. All st
 ages of TSM from land use editing and network preparation to population sy
 nthesis\, demand modeling\, and assignment are initiated and completed wit
 hin the QGIS environment. This eliminates the need for external software\,
  file transfers\, or manual data handling across disconnected platforms\, 
 significantly reducing operational complexity and risk of error.\nBy lever
 aging QGIS’s open architecture\, TSM has achieved complete independence 
 from proprietary software\, aligning with public-sector goals of cost effi
 ciency\, transparency\, and long-term sustainability. The plugin-based des
 ign allows direct interaction with GeoPackage\, PostGIS based land use and
  network data\, where users can modify socio-economic attributes (e.g.\, p
 opulation\, households\, employment) using standard QGIS editing tools. Th
 ese changes dynamically trigger appropriate model components (e.g.\, popul
 ation synthesizer\, demand model\, route choice)\, all orchestrated throug
 h an intuitive graphical interface.\nA key advancement is the integration 
 of AI-assisted workflows within the QGIS plugin. Customized GPT-driven use
 r guides are embedded directly into the interface\, enabling context-sensi
 tive assistance for each modeling step. These guides are dynamically linke
 d to backend GitHub repositories\, providing users with real-time access t
 o source code\, documentation\, and model logic for each widget or module.
  This creates a self-service\, intelligent help system that reduces onboar
 ding time and enhances user confidence in navigating complex disaggregate 
 models.\nThe open QGIS platform has also enabled rapid acceleration of dev
 elopment cycles. AI tools have been used to generate\, debug\, and refine 
 PyQGIS and UI components\, allowing iterative improvements that would trad
 itionally take significantly longer. This has resulted in a modern\, modul
 ar\, and extensible interface that can evolve alongside emerging modeling 
 needs.\nUltimately\, the TSM QGIS interface transforms how analysts intera
 ct with large-scale travel demand models bringing transparency\, efficienc
 y\, and usability to a domain historically constrained by technical barrie
 rs and proprietary dependencies. This presentation will demonstrate the ar
 chitecture\, workflows\, and lessons learned from deploying a fully open-s
 ource\, AI-enhanced modeling platform within a statewide agency.
DTSTAMP:20260724T192805Z
LOCATION:Bridge 2
SUMMARY:Transforming Travel Demand Modeling through an Open-Source QGIS-Bas
 ed User Interface: The Turnpike State Model (TSM) Experience - Amar Sarvep
 alli
URL:https://talks.osgeo.org/qgis-uc2026/talk/GTNNPL/
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