Fuzzy decision support system for traffic control centers

Reference:
A. Hegyi, B. De Schutter, S. Hoogendoorn, R. Babuska, and H. van Zuylen, "Fuzzy decision support system for traffic control centers," Proceedings of the European Symposium on Intelligent Techniques (ESIT 2000), Aachen, Germany, pp. 389-395, Sept. 2000. Paper BC-01-2.

Abstract:
We present a fuzzy decision support system that can be used in traffic control centers to provide a limited list of appropriate combinations of traffic control measures for a given traffic situation. The system we describe is part of a larger traffic decision support system that can assist the operators of traffic control centers when they have to reduce non-recurrent congestion using a network-wide approach. The kernel of our system is a fuzzy case base that is constructed using simulated scenarios. At a later stage this system will be complemented with an adaptive learning feature and with a set of fuzzy rules that incorporate heuristic knowledge of experienced traffic operators.

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Corresponding technical report: pdf file (118 KB)
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Bibtex entry:

@inproceedings{HegDeS:00-08,
   author={A. Hegyi and B. {De Schutter} and S. Hoogendoorn and R. Babu\v{s}ka and H. {van Zuylen}},
   title={Fuzzy decision support system for traffic control centers},
   booktitle={Proceedings of the European Symposium on Intelligent Techniques (ESIT 2000)},
   address={Aachen, Germany},
   pages={389--395},
   month=sep,
   year={2000},
   note={Paper BC-01-2}
}

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