Traffic Prediction Using Ying-Yang Fuzzy Cerebellar Model Articulation Controller

Author

Nguyen, M.N. ; Shi, D. ; Quek, C. ; Ng, G.S.

Author_Institution

Sch. of Comput. Eng., Nanyang Technol. Univ.

Volume

3

fYear

0

fDate

0-0 0

Firstpage

258

Lastpage

261

Abstract

Traffic prediction is a critical element in traffic control today. With the increase of transportation, an effective traffic prediction allows to prevent traffic problems. This research aims to propose a novel approach to traffic prediction using Ying-Yang fuzzy cerebellar model articulation controller (YY-FCMAC). The model is motivated from the famous Chinese ancient Ying-Yang philosophy, which views everything as a product of conflict-harmony process between Ying and Yang. That principle is applied to find the optimal number of clusters and fuzzy sets in the fuzzification phase of the hybrid fuzzy-neural YY-FCMAC network. The analyzed experiment on a set of real traffic data flow of the east-bound Pan Island Expressway (PIE) in Singapore shows the effectiveness of the YY-FCMAC in universal approximation and prediction

Keywords

cerebellar model arithmetic computers; fuzzy neural nets; fuzzy set theory; neurocontrollers; road traffic; traffic control; Ying-Yang fuzzy cerebellar model articulation controller; Ying-Yang philosophy; conflict-harmony process; fuzzy sets; fuzzy-neural network; traffic control; traffic flow prediction; traffic prediction; universal approximation; Communication system traffic control; Equations; Fuzzy control; Fuzzy sets; Neural networks; Neurons; Predictive models; Telecommunication traffic; Traffic control; Transportation; CMAC.; Traffic flow prediction; Ying-Yang; fuzzy; neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.1132

Filename

1699515