2023
DOI: 10.1049/itr2.12448
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Lag‐related noise shrinkage stacked LSTM network for short‐term traffic flow forecasting

Kai Li,
Weihua Bai,
Shaowei Huang
et al.

Abstract: For the transport networks only equipped with sparse or isolated detectors, short‐term traffic flow forecasting faces the following problems: (1) there are only temporal information and no spatial information; (2) the noises in the traffic flow significantly affect the forecasting performance. In this paper, a lag‐related noise shrinkage stacked long short‐term memory (LSTM) network is proposed for the traffic flow forecasting task only related to temporal information. To extract effective temporal features, t… Show more

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