New methods for traffic signal control-development of fuzzy controller

Author

Könönen, Ville ; Niittymäki, Jarkko

Author_Institution

Helsinki Univ. of Technol., Espoo, Finland

Volume

1

fYear

2000

fDate

7-10 May 2000

Firstpage

358

Abstract

The main goal of the study is to introduce two fuzzy control systems for traffic signal control. Two different fuzzy control methods are tested in both control systems and their mutual goodness is compared. The tested fuzzy inference methods are a traditional Mamdani-type system and a fuzzy inference method based on maximal fuzzy similarity. For the fuzzy inference method based on maximal fuzzy similarity there is introduced an extension for which fuzzy inference systems where both input and output spaces are fuzzy can be constructed. The second goal of this study is to introduce a method for stability analysis of fuzzy control systems, fuzzy rulebase and membership functions

Keywords

fuzzy control; fuzzy logic; fuzzy set theory; multivalued logic; road traffic; traffic control; fuzzy inference methods; fuzzy rulebase; input spaces; maximal fuzzy similarity; membership functions; output spaces; stability analysis; traditional Mamdani-type system; traffic signal control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Inference algorithms; Lattices; Mathematics; Stability analysis; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1098-7584

Print_ISBN

0-7803-5877-5

Type

conf

DOI

10.1109/FUZZY.2000.838686

Filename

838686