Open AccessShort-term Traffic Flow Forecast on Basis of PCA- Interval Type-2 Fuzzy System
Author(s) -
Zhengyang Qu,
Jun Li
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2171/1/012051
Subject(s) - fuzzy logic , basis (linear algebra) , defuzzification , fuzzy set operations , interval (graph theory) , fuzzy classification , mathematics , data mining , term (time) , algorithm , traffic flow (computer networking) , fuzzy number , computer science , fuzzy control system , artificial intelligence , fuzzy set , physics , geometry , computer security , combinatorics , quantum mechanics
According to the time series of urban traffic flow, a prediction method on basis of type-2 fuzzy logic is proposed under the theoretical framework of fuzzy logic. The prediction model of the interval type-2 fuzzy system is established, and the BP algorithm is used to adjust the coefficients of the antecedent and consequent of fuzzy rules. In this paper, the algorithm is verified by the measured data of road network, and compared with other fuzzy methods, BP algorithm and support vector machine (SVM) According to the experimental data that type-2 fuzzy logic system has higher prediction accuracy.