Optimization of Traffic Congestion Management in Smart Cities under Bidirectional Long and Short-Term Memory Model
To solve the increasingly serious traffic congestion and reduce traffic pressure, the bidirectional long and short-term memory (BiLSTM) algorithm is adopted to the traffic flow prediction. Firstly, a BiLSTM-based urban road short-term traffic state algorithm network is established based on the colle...
Saved in:
| Main Authors: | Yujia Zhai, Yan Wan, Xiaoxiao Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/3305400 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
THE COMPARISON OF LONG SHORT-TERM MEMORY AND BIDIRECTIONAL LONG SHORT-TERM MEMORY FOR FORECASTING COAL PRICE
by: Indra Rivaldi Siregar, et al.
Published: (2025-01-01) -
Implementasi Bidirectional Long Short-Term Memory untuk Identifikasi Entitas Saham
by: Akmalia Fatimah, et al.
Published: (2025-04-01) -
Detect Multi Spoken Languages Using Bidirectional Long Short-Term Memory
by: Fawziya Ramo, et al.
Published: (2023-06-01) -
Unidirectional and Bidirectional LSTM Models for Short-Term Traffic Prediction
by: Rusul L. Abduljabbar, et al.
Published: (2021-01-01) -
Deep Belief Neural Networks and Bidirectional Long-Short Term Memory Hybrid for Speech Recognition
by: Łukasz BROCKI, et al.
Published: (2015-02-01)