Master data

Title: A Multimedia-centric Quality Assurance System for Traffic Messages
Subtitle:
Abstract: We present here a technical system for multimedia-centric verification of traffic situations. Traffic messages from various message sources are automatically linked to the video streams of corresponding surveillance cameras in order to support traffic editors in improving the quality of published traffic messages. Video streams can be recorded for certain types of traffic situations and can also be provided as live streams during the verification stage. Both on-demand and live provision of the streams is achieved based on a distributed video scene-recording system that interacts with the video subsection of the Austrian national operator of the highways and motorways (ASFINAG). The situation verification is enabled by a web application which provides (1) an integrated view of the details of a traffic message, (2) a web map illustrating the location and spatial dissemination of the traffic situation, and (3) the recordings and live streams from selected cameras provided by the scene-recording system. Based on the verification result, the traffic editor may then publish traffic situation scenes with enhanced descriptive data about the traffic situation. The system was deployed in the operational environment of ASFINAG and tested by traffic editors at the national radio channel Hitradio Ö3. Evaluation results have shown that this system considerably improves the verification process of the previous system both in terms of speed and accuracy.
Keywords:
Publication type: Article in compilation (Authorship)
Publication date: 11.2010 (Print)
Published by: Data and Mobility - Transforming Information into Intelligent Traffic and Transportation Services
Data and Mobility - Transforming Information into Intelligent Traffic and Transportation Services
to publication
 ( Springer Verlag GmbH; Düh J., Hufnagl H., Juritsch E., Pfliegl R., Schimany H.-K., Schönegger H. )
Title of the series: Advances in Intelligent and Soft Computing
Volume number: 81
First publication: Yes
Page: pp. 1 - 13

Versionen

Keine Version vorhanden
Publication date: 11.2010
ISBN:
  • 9783642155024
ISSN: -
Homepage: http://www.springerlink.com/content/b7561215415032l9/

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Austria
   martina.steinbacher@aau.at
http://itec.aau.at/
To organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 1108 - Informatics
  • 1109 - Information and data processing
  • 28 - Traffic System, Traffic Planning
Research Cluster No research Research Cluster selected
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: n.a.)
Classification raster of the assigned organisational units:
working groups No working group selected

Cooperations

No partner organisations selected

Articles of the publication

No related publications