ST-GAT Resident OD Prediction Model Based on Mobile Signaling Data

ST-GAT Resident OD Prediction Model Based on Mobile Signaling Data

Aiming at the challenges of spatio-temporal heterogeneity and dynamic correlation in the prediction of travel origins and destinations for urban residents, this study invokes a spatio-temporal graph attention network (ST-GAT) OD prediction model based on cell phone signaling data. This model innovat...

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Bibliographic Details
Main Authors: Xianguang Jia, Weijie Fang, Yingying Lyu, Jinke Zhang, Mengyi Guo, Dong Li, Jie Qu, Fengxiang Guo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
OD prediction
cell phone signaling data
ST-GAN model
deep learning
Online Access:https://ieeexplore.ieee.org/document/11028587/
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