Study on Incident Detection System Using Fuzzy Logic

  • Kim, Intaek (School of Electrical and Electronic Engineering Myongji University) ;
  • Lee, Eunggi (School of Electrical and Electronic Engineering Myongji University)
  • Published : 1998.06.01

Abstract

this paper presents the potential application of fuzzy logic to the automatic incident detection system. While the conventional incident detection algorithms are based on a binary decision process, the algorithm using fuzzy logic can incorporate ambiguity which occurs in determining incidents. Since collecting good amount of data to construct data base for incidents is pretty expensive, a traffic simulator called FRESIM is used to simulate traffic condition in a freeway. Incident data are obtained by changing input parameters of the simulator and the fuzzy algorithm generates fuzzy rule for determining normal and incident traffic conditions. In this paper, various steps are described to test the algorithm and its results are summarized.

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