Outbreak passenger flow is the main cause of rail transit congestion. In this regard, the
accurate forecast of passenger flow in advance will facilitate the traffic control department to …

Short-term passenger flow forecasting is an essential component for the operation of urban
rail transit (URT). Therefore, it is necessary to obtain a higher prediction precision with the …

The short-term forecast of rail transit is one of the most essential issues in urban intelligent
transportation system (ITS). Accurate forecast result can provide support for the forewarning …

Short-term forecasting of passenger flow is critical for transit management and crowd
regulation. Spatial dependencies, temporal dependencies, inter-station correlations driven …

Short-term passenger flow forecasting is an essential component in urban rail transit
operation. Emerging deep learning models provide good insight into improving prediction …

Short‐term traffic forecast is one of the essential issues in intelligent transportation system.
Accurate forecast result enables commuters make appropriate travel modes, travel routes …

Short-term traffic flow prediction is one of the most important issues in the field of intelligent
transportation systems. It plays an important role in traffic information service and traffic …

The accurate prediction of bus passenger flow is the key to public transport management
and the smart city. A long short-term memory network, a deep learning method for modeling …

Short‐term passenger flow forecasting is a crucial task for urban rail transit operations.
Emerging deep‐learning technologies have become effective methods used to overcome …

Short-term traffic flow forecasting at isolated points is a fundamental yet challenging task in
many intelligent transportation systems. We present a novel long short-term memory (LSTM) …