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HTTE: A Hybrid Technique For Travel Time Estimation In Sparse Data Environments
Travel time estimation is a critical task, useful to many urban applications at the individual citizen and the stakeholder level.
A Novel Framework for Handling Sparse Data in Traffic Forecast
In this paper we present a deep learning framework that encodes the sparse recent traffic information and forecasts the future traffic condition.
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