A Spatio-Temporal Structured LSTM Model for Short-Term Prediction of Origin-Destination Matrix in Rail Transit With Multisource Data

A Spatio-Temporal Structured LSTM Model for Short-Term Prediction of Origin-Destination Matrix in Rail Transit With Multisource Data

Passenger assignment of rail transit has recently attracted increasing research interest due to its potential applications in large-scale intelligent transportation systems. In the rail transit system, the foundation of passenger assignment is passengers' origin and destination demand (OD matri...

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Bibliographic Details
Main Authors: Dewei Li, Jinming Cao, Ruoyi Li, Lifu Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
LSTM
multisource data
rail transit
short-term OD prediction
Online Access:https://ieeexplore.ieee.org/document/9085388/

Internet

https://ieeexplore.ieee.org/document/9085388/

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