Traffic flow data forecasting based on interval type-2 fuzzy sets theory
Runmei Li1; Chaoyang Jiang1; Fenghua Zhu2; Xiaolong Chen1
Source PublicationIEEE/CAA Journal of Automatica Sinica
2016-04
Volume3Issue:2Pages:141-148
Abstract
This paper proposes a long-term forecasting scheme and implementation method based on the interval type-2 fuzzy sets theory for traffic flow data. The type-2 fuzzy sets have advantages in modeling uncertainties because their membership functions are fuzzy. The scheme includes traffic flow data preprocessing module, type-2 fuzzification operation module and long-term traffic flow data forecasting output module, in which the Interval Approach acts as the core algorithm. The central limit theorem is adopted to convert point data of mass traffic flow in some time range into interval data of the same time range (also called confidence interval data) which is being used as the input of interval approach. The confidence interval data retain the uncertainty and randomness of traffic flow, meanwhile reduce the influence of noise from the detection data. The proposed scheme gets not only the traffic flow forecasting result but also can show the possible range of traffic flow variation with high precision using upper and lower limit forecasting result. The effectiveness of the proposed scheme is verified using the actual
sample application.
KeywordInterval Type-2 Fuzzy Sets Central Limit Theorem Confidence Interval Long-term Prediction
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20090
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Affiliation1.Beijing Jiaotong University
2.the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Runmei Li,Chaoyang Jiang,Fenghua Zhu,et al. Traffic flow data forecasting based on interval type-2 fuzzy sets theory[J]. IEEE/CAA Journal of Automatica Sinica,2016,3(2):141-148.
APA Runmei Li,Chaoyang Jiang,Fenghua Zhu,&Xiaolong Chen.(2016).Traffic flow data forecasting based on interval type-2 fuzzy sets theory.IEEE/CAA Journal of Automatica Sinica,3(2),141-148.
MLA Runmei Li,et al."Traffic flow data forecasting based on interval type-2 fuzzy sets theory".IEEE/CAA Journal of Automatica Sinica 3.2(2016):141-148.
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