A Neuro-Fuzzy Logic for ATIS Stand-Alone Control Systems: Structure, Calibration, and Analyses

:  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 sim...

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Bibliographic Details
Published in:Computer-aided civil and infrastructure engineering 2004-05, Vol.19 (3), p.186-202
Main Author: Hawas, Yaser E.
Format: Article
Language:English
Subjects:
Applied sciences
Exact sciences and technology
Ground, air and sea transportation, marine construction
Transportation planning, management and economics
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Summary::  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.
ISSN:1093-9687
1467-8667
DOI:10.1111/j.1467-8667.2004.00347.x