The first stage predicts the inflows of all stations by Long Short-Term Memory (LSTM) in real time, where the dimension is reduced compared with predicting OD flows directly. In the second stage, the notion of separation rate, namely, the proportion of inbound passengers bounding for another station, is estimated.
Jan 16, 2023
Jan 24, 2023 · 1) OD flow prediction model is divided into two stages, inflow prediction and separation rate estimation. This mode promotes the accuracy and ...
Two-Stage OD Flow Prediction for Emergency in Urban Rail Transit
dl.acm.org › abs › TITS.2023.3235413
Jan 16, 2023 · A novel model consisting of two stages is proposed for OD flow prediction. The first stage predicts the inflows of all stations by Long Short- ...
Feb 1, 2024 · A novel model consisting of two stages is proposed for OD flow prediction. The first stage predicts the inflows of all stations by Long Short- ...
3 days ago · ... Two-Stage Od Flow Prediction for Emergency in Urban Rail Transit. IEEE Transactions on Intelligent Transportation Systems, Vol. 25, No. 1 ...
Two-Stage OD Flow Prediction for Emergency in Urban Rail Transit. Article. Jan ... A novel model consisting of two stages is proposed for OD flow prediction.
Nov 10, 2023 · This paper extracts passenger travel patterns using AFC data on urban rail transit in Chengdu, China, over a one-month period.
Two-Stage OD Flow Prediction for Emergency in Urban Rail Transit · Guangyu Zhu ... A novel model consisting of two stages is proposed for OD flow prediction ...
Jul 1, 2024 · Short-term passenger flow prediction (STPFP) helps ease traffic congestion and optimize urban rail transit (URT) system resource allocation.
Sep 13, 2023 · The model is capable of predicting inbound and outbound passenger flow for all stations within the network simultaneously.