EU noise mapping

Angela Czerwinski, Thomas H. Kolbe, Lutz Plümer, Elke Stöcker-Meier

Research output: Contribution to specialist publicationArticle

Abstract

Important time-saving benefits are possible in 3D geodata acquisition that involve main road traffic and industrial activity sites, if Spatial Data Infrastructures (SDI) employ noise mapping through different strategies, other than entirely centralized and decentralized options. These include the use of the existing state SDI structures where the centralized provision of statewide available in 3D geodata via SDI and the centralized processing of main road traffic. Total financial savings are estimated at 60% of the total costs. Also, remarkable savings of 50% sectoral costs can be made in the sector of main road traffic, if the road traffic geodata are centralized for all main roads and the environmental noise mapping is centrally processed for all main roads outside of the urban agglomerations. A quantification of the costs for geodata integration caused by the use of different data models, accuracies and techniques for the extraction of 3D geodata can be determined. However, there are problems relating to interoperability of syntactic and geometrical data. A solution for syntactic interoperability problems will be the use of Geography Markup Language (GML) as an interoperable geodata exchange format. The new extended CityGML modeling language for 3D geodata storage and exchange is useful for solving semantic interoperability problems.

Original languageEnglish
Pages20-22
Number of pages3
Volume6
No3
Specialist publicationGEO: connexion
StatePublished - Mar 2007
Externally publishedYes

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