Probabilistic Situation Assessment for Intelligent Transportation Systems

The perception of traffic situations is a crucial requirement for Intelligent Transportation Systems. Information about the existence, position, and dynamic parameters of traffic participants can be obtained by different sensors or via Vehicle-To-X-communication. For sophisticated applications, the perceived entities have to be put in relation to each other in order to obtain an understanding of the current traffic situations. In this paper, the probabilistic handling of this situation assessment task is discussed on the example of a lane change recommendation system. The aim is to develop a unified approach for handling uncertainties from the sensor to the application level.

• Corporate Authors:

  ITS Japan

  Tokyo,   Japan 

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036

  ERTICO

  326 Avenue Louis
  Brussels,   Belgium  B-1050
• Authors:
  • Schubert, Robin
  • Wanielik, Gerd
• Conference:
  • 17th ITS World Congress
  • Location: Busan , Korea, South
  • Date: 2010-10-25 to 2010-10-29
• Publication Date: 2010

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: 3p
• Monograph Title: 17th ITS World Congress, Busan, 2010: Proceedings

Subject/Index Terms

• TRT Terms: Alertness; Evaluation and assessment; In vehicle sensors; Intelligent transportation systems; Lane changing; Traffic characteristics
• Uncontrolled Terms: Probabilistic methods
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01354761
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 24 2011 11:03AM