Towards Advanced Information Extraction in Cooperative Driving Support Systems

In this paper, a novel information extraction approach is presented as a part of a cooperative driving support system (I-WAY). The key features of the proposed solution are i.) a geo-reference events representation and merging with respect to geo-areas of interest and ii.) the efficient management of low-confident information through geo-referenced information fusion and the extraction of advanced high-confident information exploiting events interrelationships. The events interrelationships are represented as a Bayesian network constructed upon expert knowledge and statistical data. The new information produced is forwarded to the driver and to the vehicle’s telematic platform for communication to other vehicles.

• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Rigas, G
  • Bougia, P
  • Fotiadis, D I
  • Goletsis, Y
• Conference:
  • 16th ITS World Congress and Exhibition on Intelligent Transport Systems and Services
  • Location: Stockholm , Sweden
  • Date: 2009-9-21 to 2009-9-25
• Publication Date: 2009

Language

• English

Media Info

• Media Type: CD-ROM
• Features: Figures; Maps; Photos; References; Tables;
• Pagination: 12p
• Monograph Title: ITS in Daily Life

Subject/Index Terms

• TRT Terms: Advanced traveler information systems; Driver support systems; Information systems; Real time information; Telematics; Vehicle to infrastructure communications; Vehicle to vehicle communications
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01148220
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 25 2010 8:08AM