4D GIS Visualisation of Agentic-AI Models

Urban Digital-Twin Scenario-based Mobility Simulations for the New Sarajevo Urban Plan

Authors

  • Michael Walczak ETH Zurich Chair of Architecture and Urban Design Author https://orcid.org/0009-0009-1934-0885
  • Victoria Desponds ETH Zurich Chair of Architecture and Urban Design Author
  • Hubert Klumpner ETH Zurich Chair of Architecture and Urban Design Author

DOI:

https://doi.org/10.65262/q1cdwg98

Keywords:

AI, Urban Design, Architecture, Simulation, Digital Twin, Sarajevo, Digital Modelling, Agent-based, Policy making

Abstract

This research describes the Sarajevo Urban Digital Twin (UDT) as an applied tool for city planning and for presenting complex simulation results in an adequate way for a broad audience. Developed within the Urban Transformation Project Sarajevo (UTPS), it explains how traffic simulations from the ETH Zurich (ETHZ) software EnerPol are transformed from raw binary files into time-based scenes in ArcGIS Pro (ESRI). In areas with limited local data, satellite imagery is used to create the base 3D city model. The following sections describe how building footprints and heights are extracted not only to generate Level of Detail 2 (LOD2) models with roof shapes and precise outlines, but also to capture land-cover information essential for the UDT. The automatized workflow converts simulation events into georeferenced features and matches them with the street network, so planners can watch traffic patterns shift throughout the day based on different assumptions regarding population changes. A key purpose of the UDT is to make these data and scenarios visible and understandable for people with different professional backgrounds. By offering a shared visual reference, the model supports planning processes where citizens, experts, and officials need to discuss challenges and agree on policy strategies. The study shows how linking data collection, processing, and clear visual output creates a decision-support tool that helps turn complex urban information into knowledge that can guide real interventions with real stakeholders.

Downloads

Download data is not yet available.

Downloads

Published

2025-12-26

How to Cite

4D GIS Visualisation of Agentic-AI Models: Urban Digital-Twin Scenario-based Mobility Simulations for the New Sarajevo Urban Plan. (2025). Acta Architectonica Et Urbanistica, 1(2), 68-81. https://doi.org/10.65262/q1cdwg98