Hong-Yuan Wang

Attention-Enhanced LSTM for Short-term Passenger Flow Prediction in Urban Rail Transit

Short-term passenger flow forecast is vital for enhancing urban rail transit operations. However, standard LSTM models process all historical time steps equally and fail to reflect the significant impact of peak hours. To remedy this shortcoming, this paper introduces an Attention-Enhanced LSTM model with a streamlined...