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Short-Term Traffic Flow Prediction Based on Fuzzy Time Series
Technical Paper
2002-01-2152
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
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.
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
Topic
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.Also In
References
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