The Sequence-to-Sequence Architecture with An Embedded Module for Long-Term Traffic Speed Forecasting with Missing Data

Traffic forecasting plays a crucial role in Intelligent Transportation Systems (ITSs), which is proposed to provide traffic status in advance for road users to avoid traffic congestion or other traffic incidents and for authorities to optimise the strategies of traffic management. In this paper, we develop a novel deep learning framework, based on the Sequence-to-Sequence architecture with an embe...