Cargando…
Multi-Section Traffic Flow Prediction Based on MLR-LSTM Neural Network
As the aggravation of road congestion leads to frequent traffic crashes, it is necessary to relieve traffic pressure through traffic flow prediction. As well, the traffic flow of the target road section to be predicted is also closely related to the adjacent road sections. Therefore, in this paper,...
Autores principales: | Shi, Ruizhe, Du, Lijing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573202/ https://www.ncbi.nlm.nih.gov/pubmed/36236617 http://dx.doi.org/10.3390/s22197517 |
Ejemplares similares
-
An AutoEncoder and LSTM-Based Traffic Flow Prediction Method
por: Wei, Wangyang, et al.
Publicado: (2019) -
Traffic Flow Prediction and Analysis in Smart Cities Based on the WND-LSTM Model
por: Ma, SuYuan, et al.
Publicado: (2022) -
Convolutional LSTM models to estimate network traffic
por: Waczynska, Joanna
Publicado: (2021) -
Convolutional LSTM models to estimate network traffic
por: Waczynska, Joanna, et al.
Publicado: (2021) -
LSTM Network Integrated with Particle Filter for Predicting the Bus Passenger Traffic
por: Vidya, G S, et al.
Publicado: (2023)