SFL: A High-precision Traffic Flow Predictor for Supporting Intelligent Transportation Systems
Author:
Affiliation:
1. Duke Kunshan University,China
2. Wuhan University,China
3. University of Ottawa,Canada
Funder
DKU
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000063/10000593/10000941.pdf?arnumber=10000941
Reference26 articles.
1. Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results
2. Traffic flow time series prediction based on statistics learning theory;ding;Proc IEEE ITSC,2002
3. An overview of statistical learning theory
4. A hybrid deep learning based traffic flow prediction method and its understanding
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