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A Neuro‐Fuzzy Logic for ATIS Stand‐Alone Control Systems: Structure, Calibration, and Analyses
Author(s) -
Hawas Yaser E.
Publication year - 2004
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/j.1467-8667.2004.00347.x
Subject(s) - scheme (mathematics) , neuro fuzzy , fuzzy logic , computer science , artificial neural network , adaptive neuro fuzzy inference system , set (abstract data type) , fuzzy control system , path (computing) , artificial intelligence , mathematics , mathematical analysis , programming language
An Advanced Traveler Information System (ATIS) stand‐alone operation scheme is formulated as a bi‐level optimization problem. The scheme logic attempts to optimize the network overall travel time by adjusting the path proportions while guessing the signal phase split decisions. An approximate simulation‐based optimization algorithm is devised as an example of the logic operating this scheme. The logic is then replicated by a fuzzy‐logic control system. Neural nets are utilized to develop the knowledge base of the fuzzy system and to calibrate the fuzzy set parameters. The neural nets utilize data replicates generated by the approximate simulation‐based optimization algorithm. The calibration and effectiveness results of the fuzzy control system are presented.