MODELLING URBAN NOISE IN CITYGML ADE: CASE OF THE NETHERLANDS

22 citations as recorded by crossref.

1. Automated noise modelling using a triangulated terrain model N. Hobeika et al. https://doi.org/10.1080/10095020.2023.2270520
2. Influence of land cover on noise simulation output – A case study in Malmö, Sweden K. Pantazatou et al. https://doi.org/10.1515/noise-2025-0016
3. Review and assessment of 3D spatial data models for managing underground utility networks E. Javaherian Pour et al. https://doi.org/10.1016/j.tust.2024.106219
4. Extending CityGML with public input – social ADE F. Zarei & M. Nik-Bakht https://doi.org/10.1108/BEPAM-09-2023-0163
5. 3D Variables Requirements for Property Valuation Modeling Based on the Integration of BIM and CIM S. El Yamani et al. https://doi.org/10.3390/su13052814
6. The Energy Application Domain Extension for CityGML: enhancing interoperability for urban energy simulations G. Agugiaro et al. https://doi.org/10.1186/s40965-018-0042-y
7. 3D Kriging interpolation for traffic noise visualization: designing noise observation points and valuation of spatial interpolation accuracy N. Wickramathilaka & U. Ujang https://doi.org/10.1088/1755-1315/1274/1/012001
8. CityGML Application Domain Extension (ADE): overview of developments F. Biljecki et al. https://doi.org/10.1186/s40965-018-0055-6
9. A CityGML ADE for flood simulations S. Luo et al. https://doi.org/10.1080/10095020.2025.2547952
10. Establishing Semantic 3D City Models by GRextADE: the Case of the Greece T. Liamis & A. Mimis https://doi.org/10.1007/s41651-022-00114-0
11. Reference study of IFC software support: The GeoBIM benchmark 2019—Part I F. Noardo et al. https://doi.org/10.1111/tgis.12709
12. Reference study of CityGML software support: The GeoBIM benchmark 2019—Part II F. Noardo et al. https://doi.org/10.1111/tgis.12710
13. A framework for spatial analysis in 3D urban land administration – A case study for Victoria, Australia M. Barzegar et al. https://doi.org/10.1016/j.landusepol.2021.105766
14. A Harmonized Data Model for Noise Simulation in the EU K. Kumar et al. https://doi.org/10.3390/ijgi9020121
15. Estimating urban noise levels from Multi-Scale and Multi-Spectral remote sensing imagery Z. Chen et al. https://doi.org/10.1016/j.jag.2025.104818
16. Shp2gml: semantic 3D model generation for Ming and Qing historical buildings at multiple LoDs using domain knowledge and multi-source data J. Zhang et al. https://doi.org/10.1080/17538947.2025.2564910
17. Achieving Complete and Near-Lossless Conversion from IFC to CityGML R. Stouffs et al. https://doi.org/10.3390/ijgi7090355
18. Requirements, Development, and Evaluation of A National Building Standard—A Swedish Case Study H. Eriksson et al. https://doi.org/10.3390/ijgi9020078
19. Development of a CityGML Application Domain Extension for Simulating the Building Construction Process C. Zhang et al. https://doi.org/10.3390/ijgi8120576
20. Applications for Semantic 3D Streetspace Models and Their Requirements—A Review and Look at the Road Ahead C. Beil & T. Kolbe https://doi.org/10.3390/ijgi13100363
21. Harmonising the OGC Standards for the Built Environment: A CityGML Extension for LandInfra K. Kumar et al. https://doi.org/10.3390/ijgi8060246
22. CityGML Grotto ADE for modelling niches in 3D with semantic information S. Yang et al. https://doi.org/10.1186/s40494-024-01260-y