CityGML and the Streets of New York A Proposal for Detailed Street Space Modeling

Transcription

1 LEONHARD OBERMEYER CENTER TUM CENTER OF DIGITAL METHODS FOR THE BUILT ENVIRONMENT CityGML and the Streets of New York A Proposal for Detailed Street Space Modeling Christof Beil & Thomas H. Kolbe Chair of Geoinformatics Melbourne, 26th of October 2017

2 Background and Research Aspects Increasing interest in the detailed spatial and semantic representation of street spaces automotive industry (driver-assistance systems, autonomous driving) urban facility management; road maintenance environmental simulations 3D cadastres; urban information modeling (UIM) Data registration technologies (mobile mapping) today support the acquisition of highly detailed 3D geometries but not much experience in how to subdivide and structure the road space elements in the most useful way what semantic classes, geometrical and topological properties, as well as relationships are required for the application areas above? C. Beil, T. H. Kolbe CityGML and the Streets of New York 2

3 Background and Research Aspects 3D city models today mainly consist of buildings + DTM other feature types are increasingly created, but not much experience Data models that include a representation for road spaces are either designed to support navigation / routing OR planning and construction; not so much tailored for asset management are mostly focused on linear & parametric representations; often no explicit representation of the street surfaces included CityGML 2.0 already comes with a data model for modeling roads & railways, but has some deficiencies First part: data modeling for detailed street spaces Second part: Implementation of the concept for detailed street spaces for New York City based on Open Data C. Beil, T. H. Kolbe CityGML and the Streets of New York 3

4 Lehrstuhl für Geoinformatik Related Standards Geographic Data Files (GDF) OpenDRIVE LandInfra OKSTRA à Mostly focus on linear or parametric representations ( alignments ) C. Beil, T. H. Kolbe CityGML and the Streets of New York 4

5 Lehrstuhl für Geoinformatik Potential Applications Infrastructure Planning and Management Asset management Maintenance Road condition analysis Automotive Analysis: Driving dynamics Driving simulation (driver training) Traffic simulation Autonomous driving Spatial Analysis: Visibility analysis Solar irradiation analysis for solar energy production and urban heat island effects Land use management, C. Beil 2017 C. Beil, T. H. Kolbe Semantic 3D City Model of New York City 5

6 Potential Applications Infrastructure Planning and Management Asset managment Maintenance, damage mapping Road condition analysis Automotive Analysis: Driving dynamics Driving simulation (driver training) Traffic simulation Autonomous driving Spatial Analysis: Visibility analysis Solar irradiation analysis for solar energy production and urban heat island effects Traffic Simulation, R. Ruhdorfer C. Beil, T. H. Kolbe Semantic 3D City Model of New York City 6

7 Potential Applications Infrastructure Planning and Management Asset managment Maintenance, damage mapping Road condition analysis Automotive Analysis: Driving dynamics Driving simulation (driver training) Traffic simulation Autonomous driving Spatial Analysis: Visibility analysis Solar irradiation analysis for solar energy production and urban heat island effects Solar irradiation analysis, Beil & Sindram C. Beil, T. H. Kolbe Semantic 3D City Model of New York City 7

8 Current CityGML2.0 Transportation Model Deficits: Linear / graph representation for LOD 0 only Unclear specifications (e.g. do Sidewalks belong to Road Objects?) Intersections & Roundabouts are not modelled explicitly Unclear segmentation of Street Networks (no Sections) No representation of road damages or manholes No representation of Clearance Space C. Beil, T. H. Kolbe CityGML and the Streets of New York 8

9 Proposal for detailed Street Space Modelling with CityGML C. Beil, T. H. Kolbe CityGML and the Streets of New York 9

10 Proposal for detailed Street Space Modelling with CityGML LoD0 Network LoD3 Network C. Beil, T. H. Kolbe CityGML and the Streets of New York 10

11 Proposal for detailed Street Space Modelling with CityGML Introducing Sections One Section per Road Segment Intersection Roundabout Dead End Intersection areas belong to more than one street (XLinks) Each Section is divided into (Auxiliary)TrafficSpaces C. Beil, T. H. Kolbe CityGML and the Streets of New York 11

12 C. Beil, T. H. Kolbe CityGML and the Streets of New York 12

13 Implementation for New York City Tasks: NYC Open Data to CityGML Efficient 3D visualization for huge amount of data Software: FME, 3DCityDB + 3D-Webmap Client à All FME Workspaces are freely available on the project s GitHub page C. Beil, T. H. Kolbe CityGML and the Streets of New York 13

14 Challenges in the Generation of NYC Streets Proper segmentation of road polygons into street segments, pedwalk segments and intersection areas Identification and assignment of all elements belonging to the same road section (pedwalks, dividers, roadbeds etc.) Joining different thematic data sources with the road segments (and their components) Handling of the 3rd dimension Dealing with the large data volumes (entire NYC!) Mapping of the resulting 3D objects to CityGML 2.0 Everything implemented by FME Workspaces; download: C. Beil, T. H. Kolbe CityGML and the Streets of New York 14

15 Lehrstuhl für Geoinformatik Demonstration of Results 3D Visualization C. Beil, T. H. Kolbe CityGML and the Streets of New York 15

16 Lehrstuhl für Geoinformatik Demonstration of Results 3D Visualization C. Beil, T. H. Kolbe CityGML and the Streets of New York 16

17 Lehrstuhl für Geoinformatik Demonstration of Results C. Beil, T. H. Kolbe CityGML and the Streets of New York 17

18 Lehrstuhl für Geoinformatik Demonstration of Results 3D Visualization Marking Sidewalk Plaza Curb Roadbed C. Beil, T. H. Kolbe CityGML and the Streets of New York 18

19 Lehrstuhl für Geoinformatik Demonstration of Results Marking Sidewalk Plaza Curb Roadbed C. Beil, T. H. Kolbe CityGML and the Streets of New York 19

20 Resulting CityGML Objects for New York City CityGML class Nr. Objects Data size* Curb ,02 GB Parking Lot Entrance ,5 MB Intersection ,9 MB Grass 258 0,3 MB Road Marking ,9 MB Dividing Strips ,8 MB Roadbed ,9 MB Sidewalk ,3 GB Parking Lot ,2 MB Plaza ,5 MB Track / Footpath ,8 MB Building > ,4 GB *compressed CityGML-zip file à Available for free download on the project website C. Beil, T. H. Kolbe CityGML and the Streets of New York 20

21 Conclusions Detailed street space representation useful / required for a number of applications both, a graph-based and an areal representation are important Proposed revision of the CityGML Transportation Module Implementation of the concept for New York City Project Website (Data Download): Project Wiki page (Detailed Explanations): Project GitHub page (FME Workspaces): Youtube Channel: rk+city C. Beil, T. H. Kolbe CityGML and the Streets of New York 21