Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Semantic Modelling Approach for Safety-Related Traffic Information using DATEX II

Version 1 : Received: 9 November 2023 / Approved: 10 November 2023 / Online: 10 November 2023 (07:31:57 CET)

A peer-reviewed article of this Preprint also exists.

Samper-Zapater, J.J.; Gutiérrez-Moret, J.; Rocha, J.M.; Martinez-Durá, J.J.; Tomás, V.R. Semantic Modelling Approach for Safety-Related Traffic Information Using DATEX II. Information 2024, 15, 3. Samper-Zapater, J.J.; Gutiérrez-Moret, J.; Rocha, J.M.; Martinez-Durá, J.J.; Tomás, V.R. Semantic Modelling Approach for Safety-Related Traffic Information Using DATEX II. Information 2024, 15, 3.

Abstract

The significance of Linked Open Data datasets for traffic information goes beyond just including open traffic data. It extends to incorporating links to other relevant thematic datasets available on the web. This enables federated queries across different data platforms from various countries and sectors, such as transport, geospatial, environmental, weather, and more. Businesses, researchers, national operators, administrators, and citizens at large can benefit from having dynamic traffic open data connected to heterogeneous datasets across different Member States. This paper focuses on the development of a semantic model that enhances the basic service of accessing open traffic data through a LOD-enhanced Traffic Information System in alignment with the ITS Directive (2010/40/EU). The objective is not limited to just viewing or downloading data but also to improve the extraction of meaningful information and enable other types of services that are only achievable through LOD. By structuring the information using the RDF format meant for machines and employing SPARQL for querying, LOD allows for comprehensive and unified access to all datasets. Considering that the European standard DATEX II is widely used in many priority areas and services mentioned in the ITS Directive, LOD DATEX II was developed as a complementary approach to DATEX II XML. This facilitates the accessibility and comprehensibility of European traffic data and services. As part of this development, an ontological model called dtx_srti, based on the DATEX II Ontology, was created to support these efforts.

Keywords

Safety Road Traffic; Semantic web; LOD

Subject

Computer Science and Mathematics, Computer Science

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