How Data Fusion Techniques Can Improve Online Traffic State Estimation- DINO within DMOTION

This paper presents the data fusion techniques in the R&D project - Dmotion, in which the system of real-time traffic state estimation (DINO) has been further developed for the conurbation of Dusseldorf, Germany. The authors describe the required traffic data and data sources for data fusion. The 3DAS-Algorithm is the assignment algorithm used in the first phase of the execution process. In the second phase of the execution process, another data fusion method is introduced for calibrating the OD-Matrix additionally by travel times and level-of-service information. Finally, one data fusion method is used for the overall program termination. The authors contend that the traffic state in Dusseldorf can be monitored more accurately with the use of the proposed data fusion techniques. However, the research is still under progress and the results are not yet published.

Language

  • English

Media Info

  • Media Type: CD-ROM
  • Features: Figures; References;
  • Pagination: 7p
  • Monograph Title: ITS Connections: Saving Time. Saving Lives

Subject/Index Terms

Filing Info

  • Accession Number: 01142534
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 24 2009 6:59AM