User: Guest  Login
Title:

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

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Wang, Hanbin; Hijazi, Ihab; Donaubauer, Andreas; Kolbe, Thomas H.
Pages contribution:
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...     »
Keywords:
GISPro_CityGML; GISTop_CitySystemModeling; GISTop_Geodesign; GISTop_SpatialModelingAndAlgorithms; LOCenter; LOCTop_Urban_Information_Modeling_Virtual_3D_City_Model
Book / Congress title:
Proceedings of the 19th International 3D GeoInfo Conference 2024
Volume:
X-4/W5-2024
Organization:
University of Vigo
Date of congress:
1.-3. July 2024
Publisher:
Copernicus GmbH
Date of publication:
27.06.2024
Year:
2024
Covered by:
Scopus; Web of Science
Bookseries title:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Reviewed:
ja
Language:
en
Publication format:
WWW
Fulltext / 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 Institution:
Lehrstuhl für Geoinformatik
 BibTeX