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.