Linking interactive optimization for urban planning with a semantic 3D city model

Nils Schüler, Giorgio Agugiaro, Sebastien Cajot, Francois Marechal

Research output: Contribution to journalConference articleScientificpeer-review

4 Citations (Scopus)

Abstract

The cities in which we live are constantly evolving. The active management of this evolution is referred to as urban planning. The according development process could go in many directions resulting in a large number of potential future scenarios of a city. The planning support system URBio adopts interactive optimization to assist urban planners in generating and exploring those various scenarios. As a computer-based system it needs to be able to efficiently handle all underlying data of this exploration process, which includes both methodology-specific and context-specific information. This article describes the work carried out to link URBio with a semantic city model. Therefore, two key requirements were identified and implemented: (a) the extension of the CityGML data model to cope with many scenarios by the proposition of the Scenario Application Domain Extension (ADE) and (b) the definition of a data model for interactive optimization. Classes and features of the developed data models are motivated, depicted and explained. Their usability is demonstrated by walking through a typical workflow of URBio and laying out the induced data flows. The article is concluded with stating further potential applications of both the Scenario ADE and the data model for interactive optimization.
Original languageEnglish
Pages (from-to)179-186
Number of pages8
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
VolumeIV-4
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventISPRS TC IV Mid-term Symposium “3D Spatial Information Science – The Engine of Change” - Delft, Netherlands
Duration: 1 Oct 20185 Oct 2018

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