Automotive
Technical Paper

Short-Term Traffic Flow Prediction Based on Fuzzy Time Series

2002-01-2152

07/09/2002

Event
International Body Engineering Conference & Exhibition and Automotive & Transportation Technology Congress
Authors
Haijun Gao Center of Intelligent Control and System Engineering Institute of Automation, Chinese Academy of Sciences
Lingxi Li Center of Intelligent Control and System Engineering Institute of Automation, Chinese Academy of Sciences
Long Chen Center of Intelligent Control and System Engineering Institute of Automation, Chinese Academy of Sciences
Rui Liu Beijing Post and Telecommunication University
Abstract
Content
Short-term traffic flow prediction is more and more important in intelligent traffic systems. This paper proposes a new traffic prediction model and algorithms based on it, at last we use the data of the Zizhu bridge in Beijing to verify our algorithms.
Meta Tags
Topics
Mathematical models
Affiliated or Co-Author
Center of Intelligent Control and System Engineering Institute of Automation, Chinese Academy of Sciences
Beijing Post and Telecommunication University
Details
DOI
https://doi.org/10.4271/2002-01-2152
Pages
7
Citation
Gao, H., Li, L., Chen, L., and Liu, R., "Short-Term Traffic Flow Prediction Based on Fuzzy Time Series," SAE Technical Paper 2002-01-2152, 2002, https://doi.org/10.4271/2002-01-2152.
Additional Details
Publisher
SAE International
Published
Jul 9, 2002
Product Code
2002-01-2152
Content Type
Technical Paper
Language
English