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Titel:

Optimizing Urban Layout: A System Dynamics, Artificial Intelligence, and 3D Urban Information Model Approach for Active Management of City Complexity

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Wang, Hanbin; Hijazi, Ihab; Donaubauer, Andreas; Kolbe, Thomas H.
Seitenangaben Beitrag:
317-324
Abstract:
This study focuses on the integration of System Dynamics (SD), Artificial Intelligence (AI) technology, and 3D Urban Information Modeling (CityGML) in the field of urban planning. It aims to optimize urban layout to cope with rapid urban growth, emphasizing resource allocation through a combination of greedy strategies and AI methods. The core contribution of this paper is to provide spatial allocation of feedback from simulation techniques i.e. SD using the application of genetic algorithms (GA...     »
Stichworte:
GISPro_CityGML; GISTop_CitySystemModeling; GISTop_Geodesign; GISTop_SpatialModelingAndAlgorithms; LOCenter; LOCTop_Urban_Information_Modeling_Virtual_3D_City_Model
Kongress- / Buchtitel:
Proceedings of the 19th International 3D GeoInfo Conference 2024
Band / Teilband / Volume:
X-4/W5-2024
Ausrichter der Konferenz:
University of Vigo
Datum der Konferenz:
1.-3. July 2024
Verlag / Institution:
Copernicus GmbH
Publikationsdatum:
27.06.2024
Jahr:
2024
Nachgewiesen in:
Scopus; Web of Science
Serientitel:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Reviewed:
ja
Sprache:
en
Erscheinungsform:
WWW
Volltext / DOI:
doi:10.5194/isprs-annals-X-4-W5-2024-317-2024
WWW:
https://isprs-annals.copernicus.org/articles/X-4-W5-2024/317/2024/
Semester:
SS 24
TUM Einrichtung:
Lehrstuhl für Geoinformatik
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