Project Website

Link: https://www.gis.bgu.tum.de/en/projects/new-york-city-3d/

GitHub Project Page

Link: https://github.com/tum-gis/3d-model-new-york-city

Master's Theses on the Project (in German language)

  • Beil, C., 2017: Detaillierte Repräsentation des Straßenraums in 3D Stadtmodellen. Chair of Geoinformatics, Technical University of Munich  https://mediatum.ub.tum.de/604993?query=beil&show_id=1350734
  • Beil, C; Kolbe, T. H.: Detaillierte Repräsentation des Straßenraums in 3D Stadtmodellen. PFGK18 - Photogrammetrie - Fernerkundung - Geoinformatik - Kartographie, 37. Jahrestagung in München 2018 (Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V. 27), Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V., 2018, 717-728 (in german) http://mediatum.ub.tum.de/node?id=1438204
  • Burger, B., 2015: Erzeugung eines semantischen 3D-Stadtmodells der Stadt New York auf der Basis von Open Data - DGM, Straßen und Zonierung. Chair of Geoinformatics, Technical University of Munich  https://mediatum.ub.tum.de/604993?query=cantzler&show_id=1276234
  • Cantzler, B., 2015: Erzeugung eines semantischen 3D-Stadtmodells der Stadt New York auf der Basis von Open Data - DGM, Gebäude, Flurstücke, Gewässer, Parks und Bäume. Chair of Geoinformatics, Technical University of Munich  https://mediatum.ub.tum.de/604993?query=cantzler&show_id=1276235

Papers on the Project (in English language)

Related Work / References

  • Amirebrahimi, S., Rajabifard, A., Mendis, P., Ngo, T., 2015. A data model for integrating GIS and BIM for assessment and 3D visualisation of flood damage to building. Locate, 15, 10-12.

  • Bassani, M., Grasso, N., Piras, M., 2015. 3D GIS BASED EVALUATION OF THE AVAILABLE SIGHT DISTANCE TO ASSESS SAFETY OF URBAN ROADS. In: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 40.

  • BASt, 2016. Objektkatalog für das Straßenwesen, Version 2.017. Bundesanstalt für Straßenwesen. http://www.okstra.de/docs/2017/okstra_2017.pdf  (March 2017)

  • Becker, T., Nagel, C., Kolbe, T. H., 2013. Semantic 3D modeling of multi-utility networks in cities for analysis and 3D visualization. In: Progress and New Trends in 3D Geoinformation Sciences (pp. 41-62). Springer, Berlin, Heidelberg.

  • Biljecki, F., Stoter, J., Ledoux, H., Zlatanova, S., & Çöltekin, A., 2015. Applications of 3D city models: State of the art review. ISPRS International Journal of Geo-Information, 4(4), 2842-2889.

  • BMVI, 2014. Anweisung Straßeninformationsbank Kernsystem Version 2.03. Bundesministerium für Verkehr und digitale Infrastruktur. http://www.bast.de/DE/Verkehrstechnik/Publikationen/Regelwerke/V-asb-kernsystem.pdf (March 2017).

  • Bock, S., Hinzen, A., Libbe J., 2011. Deutsches Institut für Urbanistik: Nachhaltiges Flächenmanagement - Ein Handbuch aus der Praxis. In: Ergebnisse aus der REFINA-Forschung (in German)

  • Brand, L., Löwner M.-O., 2014. Parametrisierung und Identifikation urbaner Straßenkreuzungen im Kontext der Feinstaubmodellierung. „Parameterization and identification of street cross-ings in the context of fine dust modelling“. Gemeinsame Jahrestagung 2014 der DGfK, der DGPF, der GfGI und des GiN, In: DGPF Tagungsband 23/2014 (in German)

  • Butz, T., Ehmann, M., Stryk, O.v., Wolter, T-.M., 2004. Realistic road modelling for the real-time simulation of vehicle dynamics In: ATZ worldwide 106.2: 11-13.

  • Chao, Q., Bi, H., Li, W., Mao, T., Wang, Z., Lin, M. C., Deng, Z., 2019. A survey on visual traffic simulation: Models, evaluations, and applications in autonomous driving. In: Computer Graphics Forum.

  • Chaturvedi, K., & Kolbe, T. H., 2015. Dynamizers-Modeling and Implementing Dynamic Properties for Semantic 3D City Models. In: UDMV (pp. 43-48).

  • Chaturvedi, K., Yao, Z., Kolbe, T.H, 2015. Web-based Exploration of and Interaction with Large and Deeply Structured Semantic 3D City Models using HTML5 and WebGL In: Wissenschaftlich-Technische Jahrestagung der DGPF und Workshop on Laser Scanning Applications. Vol. 3.

  • Chaturvedi, K., Smyth, C. S., Gesquière, G., Kutzner, T., Kolbe, T. H., 2017a. Managing versions and history within semantic 3D city models for the next generation of CityGML. In: Advances in 3D Geoinformation (pp. 191-206). Springer International Publishing.

  • Coduro, T., 2018. Straßenraummodellierung mittels Mobile Mapping in OpenDRIVE und CityGML sowie Entwicklung geeigneter Visualisierungsmethoden. Technical University of Munich, Chair of Geoinformatics, Master’s Thesis (in German). https://mediatum.ub.tum.de/1451954 (January 2019)

  • Dupuis, M., Hekele, E., Biehn, A., 2019. OpenDrive – Format Specification, Rev. 1.5, VIRES Simulationstechnologies GmbH. http://www.opendrive.org/docs/OpenDRIVEFormatSpecRev1.5M.pdf

  • Fellendorf, M., Vortisch, P., 2010. Microscopic traffic flow simulator Vissim. In: Fundamentals of traffic simulation (pp. 63-93). Springer New York.

  • Furda, A., Vlacic, L., 2010. An object-oriented design of a world model for autonomous city vehicles. In: Intelligent Vehicles Symposium (IV), 2010 IEEE (pp. 1054-1059). IEEE

  • Ghassoun, Y.; Löwner, M-.O., Weber, S., 2015.  Exploring the benefits of 3D city models in the field of urban particles distribution modelling - A comparison of model results. In Advances in 3D Geo-Information Sciences; Springer, Berlin,  pp. 193–205.

  • Gröger. G., Kolbe, T. H., Nagel, C., Häfele, K-.H., 2012. OGC City Geography Markup Language (CityGML) Encoding Standard, OGC 12-019.

  • Gruler, H-.C., Stubkjaer, E., Axelsson, P., Wikstrom, L., 2016. OGC Land and Infrastructure Conceptual Model Standard (LandInfra), OGC 15-111.

  • ISO 14825, 2011. Intelligent transport systems - Geographic Data Files (GDF) - GDF5.0. International Standard, ISO.

  • Kolbe, T. H., Gröger, G., Plümer, L., 2008. CityGML – 3D City Models and their Potential for Emergency Response. In: Zlatanova, Li (eds.), Geospatial Information Technology for Emergency Response, Taylor & Francis.

  • Labetski, A., van Gerwen, S., Tamminga, G., Ledoux, H., Stoter, J., 2018. A proposal for an improved transportation model in CityGML. In: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences 42.

  • Löwner, M-.O., Gröger, G., Benner, J., F. Biljecki, C., Nagel, 2016. Proposal for a new LoD and multi-representation concept for CityGML. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. IV-2/W1, 11th 3DGeoinfo Conference in Athens, Greece.

  • Randt, B., Bildstein, F., Kolbe, T. H., 2007. Use of Virtual 3D Landscapes for Emergency Driver Training. In: Proc. of the Int. Conference on Visual Simulation IMAGE in Scottsdale, Arizona.
  • Rauh, J., 2009. OpenCRG – the new open standard to represent high precision 3D road data in vehicle simulation tasks on rough roads for handling, ride comfort, and durability load analyses. In: Proceedings of the 21st International Symposium Dynamics of Vehicles on Roads and Tracks IAVSD (Vol. 9, pp. 17-21).
  • Ross, L., 2010. Virtual 3D City Models in Urban Land Management - Technologies and Applications. Ph.D. Thesis, Technische Universität Berlin, Germany.

  • Ruhdorfer, R., Sindram, M., Willenborg, B. 2018. Coupling of traffic simulations and semantic 3D city models. In: gis.Science 3/2018 - Die Zeitschrift fur Geoinformatik. 101-109.

  • Rupprecht, T., Klingsch, W., Seyfried, A., 2011. Influence of geometry parameters on pedestrian flow through bottleneck, in Pedestrian and Evacuation Dynamics 2010. In: Peacock, R., Kuligowski, E., Averill, J. (Ed.). Springer, US, 71-80.

  • Schwab, B., Kolbe T. H., 2019.  Analysis of 3D Road Space Models for Automated Driving. In: Proceedings of the 14th International 3D GeoInfo Conference Singapore 2019.

  • Sindram, M., Kolbe, T. H., 2014. Modeling of urban planning actions by complex transactions on semantic 3D city models. In: Proceedings of the International Environmental Modelling and Software Society (iEMSs).

  • Strassenburg-Kleciak, M., 2016. OpenStreetMap – Straßen als Flächen erfassen. In: gis.Business 2/2016, Wichmann. See also http://wiki.openstreetmap.org/wiki/Proposed_features/Street_area (March 2017)
  • Tamminga, G., van den Brink, L., van Lint, H., Stoter, J., Hogendoorn, S., 2013. Towards GIS-Compliant Data Structures for Traffic and Transportation Models. In: Transportation Research Board 92nd Annual Meeting in Washington D.C.

  • Wilkie, D., Sewall, J., Lin, M. C., 2011. Transforming GIS data into functional road models for large-scale traffic simulation. In: IEEE transactions on visualization and computer graphics, 18(6), 890-901.

  • Willenborg, B.; Sindram, M.; Kolbe, T. H., 2017. Applications of 3D City Models for a better understanding of the Built Environment. In: Behnisch,M. Meinel, G. (eds..): Trends in Spatial Analysis and Modelling. Springer International Publishing.

  • Yao, Z., Nagel, C., Kunde, F., Hudra, G., Willkomm, P., Donaubauer, A., Adolphi, T., Kolbe, T. H., 2018. 3DCityDB-a 3D geodatabase solution for the management, analysis, and visualization of semantic 3D city models based on CityGML. Open Geospatial Data, Software and Standards, 3(1), 5.

  • Zhao, B, Silva E., Soga K., 2019. Pavement degradation: a city-scale model for San Francisco, USA. In: Proceedings of the Institution of Civil Engineers-Smart Infrastructure and Construction 171.3 (2018): 93-109.

Relevant Standards

  • Keine Stichwörter