DocumentCode
468227
Title
Verification and Prototype Implementation of Fuzzy Self-Organization Decision Algorithm for UTCS
Author
Zhai, Gaoshou ; Cha, Jianzhong
Author_Institution
Beijing Jiaotong Univ., Beijing
Volume
2
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
296
Lastpage
302
Abstract
Urban traffic control system (UTCS) is a kind of large-scale complex systems. As to such systems, it´s very important to provide functions of dynamic self-organization decision in the higher layer so that multiple control patterns and multiple control modes can be selected and utilized rightly at different locations and different moments. In this paper, an algorithm of dynamic self-organization decision for UTCS based on structural model of signal networks, which is depicted by fuzzy adjacent matrix, is presented. Moreover, balance of signal cycles is considered and used to improve the algorithmic performance and its rationality is verified from theoretical view. In addition, a prototype is implemented in VC++ 6.0 environment, tested over a typical signalized traffic network, and elementary results are summarized. Finally, conclusion is brought that it is a good choice to adopt dynamic self-organization decision based on fuzzy structural model and fuzzy algorithm in large complex control systems.
Keywords
fuzzy systems; large-scale systems; traffic control; VC++ 6.0 environment; dynamic self-organization decision; fuzzy adjacent matrix; fuzzy algorithm; fuzzy self-organization decision algorithm; fuzzy structural model; large complex control systems; large-scale complex systems; multiple control modes; multiple control patterns; signal cycle balance; signal networks; signalized traffic network; uban traffic control system; Communication system traffic control; Control system synthesis; Control systems; Fuzzy control; Fuzzy systems; Heuristic algorithms; Large-scale systems; Prototypes; Testing; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.609
Filename
4406091
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