A multi-modal approach with fuzzy reasoning for traffic state estimation and incident detection on motorways.

Author(s)
Busch, F. Cremer, M. Ghio, A. & Henninger, T.
Year
Abstract

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)

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Publication

Library number
C 10065 (In: C 9906 c [electronic version only]) /73 / IRRD 868689
Source

In: "Towards an intelligent transport system" : proceedings of the first world congress on applications of transport telematics and Intelligent Vehicle-Highway Systems IVHS, Palais de Congrès de Paris, France, 30 November - 3 December 1994, Volume 3, p. 1245-1252, 5 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.