Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture

Accurate traffic flow prediction is becoming increasingly important for transportation planning, control, management, and information services of successful. Numerous existing models focus on short-term traffic forecasts, but effective long-term forecasting of traffic flows have become a challenging...

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Bibliographic Details
Published in:	IEEE transactions on intelligent transportation systems Vol. 22; no. 10; pp. 6561 - 6571
Main Authors:	Wang, Zhumei, Su, Xing, Ding, Zhiming
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	attention Calibration Coders Deep learning encoder-decoder Encoders-Decoders Error correction Forecasting Freeway traffic flow Information management Information services long-term prediction Neural networks Prediction algorithms Predictive models similar pattern Traffic flow Traffic planning Transportation planning
ISSN:	1524-9050, 1558-0016
Online Access:	Get full text
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