AST-MTL: An Attention-Based Multi-Task Learning Strategy for Traffic Forecasting

AST-MTL: An Attention-Based Multi-Task Learning Strategy for Traffic Forecasting

Road traffic forecasting is crucial in Intelligent Transportation Systems (ITS). To achieve accurate results, it is necessary to model the dynamic nature and the complex non-linear dependencies governing traffic. The goal is particularly challenging when the prediction involves more than just one tr...

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Bibliographic Details
Main Authors: Giovanni Buroni, Bertrand Lebichot, Gianluca Bontempi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
multi-task learning
graph mining
traffic prediction
Online Access:https://ieeexplore.ieee.org/document/9439877/

Internet

https://ieeexplore.ieee.org/document/9439877/

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