A MULTI-MODAL APPROACH WITH FUZZY REASONING FOR TRAFFIC STATE ESTIMATION AND INCIDENT DETECTION ON MOTORWAYS

The paper describes a new approach to the problem of state estimation on motorways. The basic idea of the approach is to combine different elaborated methods for traffic analysis and surveillance in a complementary manner and to interpret their dynamic state estimates by a supervisory logic. The main components of the surveillance part are built by an Extended Kalman Filter with a macroscopic traffic model and by an automatic incident detection by Fuzzy Logic. The supervisory interpreting is made by a rule-based Fuzzy Logic approach. (A) For the covering abstract see IRRD 868006.

Language

  • English

Media Info

  • Features: References;
  • Pagination: p. 1245-52

Subject/Index Terms

Filing Info

  • Accession Number: 00676073
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • ISBN: 0-89006-825-9
  • Files: ITRD
  • Created Date: Apr 12 1995 12:00AM