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A Novel Passenger Travel-Time and Destination Distribution Model for Day-Ahead Forecasting

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Short-Term Subway Passenger Flow Prediction Based on ARIMA
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Introduction to Time Series and Forecasting
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Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data
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Probability tree based passenger flow prediction and its application to the Beijing subway system
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Short-to-medium Term Passenger Flow Forecasting for Metro Stations using a Hybrid Model
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Estimation and prediction of dynamic matrix travel on a public transport corridor using historical data and real-time information
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Short-term traffic flow prediction using seasonal ARIMA model with limited input data
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Dynamic prediction of traffic volume through Kalman filtering theory
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Forecasting the subway passenger flow under event occurrences with multivariate disturbances
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A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system
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Forecasting short-term subway passenger flow under special events scenarios using multiscale radial basis function networks
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Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method
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Transit OD matrix estimation using smartcard data: Recent developments and future research challenges
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Convex Optimization
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Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results
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Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios
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RNN-Based Subway Passenger Flow Rolling Prediction
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Short-Term Passenger Flow Prediction of a Passageway in a Subway Station Using Time Space Correlations Between Multi Sites
inferredcites →https://doi.org/10.1109/icassp.2004.1326286openalex-snapshot
Switching ARIMA model based forecasting for traffic flow
inferredcites →https://doi.org/10.1109/icdm.2017.17openalex-snapshot
Situation Aware Multi-task Learning for Traffic Prediction
inferredcites →https://doi.org/10.1109/tbdata.2022.3229836openalex-snapshot
Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling
inferredcites →https://doi.org/10.1109/tits.2009.2021448openalex-snapshot
Multivariate Short-Term Traffic Flow Forecasting Using Time-Series Analysis
inferredcites →https://doi.org/10.1109/tits.2016.2611644openalex-snapshot
Forecasting the Subway Passenger Flow Under Event Occurrences With Social Media
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Using an ARIMA-GARCH Modeling Approach to Improve Subway Short-Term Ridership Forecasting Accounting for Dynamic Volatility
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Big Data Analytics in Intelligent Transportation Systems: A Survey
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Forecasting Short-Term Passenger Flow: An Empirical Study on Shenzhen Metro
inferredcites →https://doi.org/10.1109/tits.2019.2902405openalex-snapshot
Subway Passenger Flow Prediction for Special Events Using Smart Card Data
inferredcites →https://doi.org/10.1109/tits.2021.3072743openalex-snapshot
Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks
inferredcites →https://doi.org/10.1109/tits.2022.3150600openalex-snapshot
Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow
inferredcites →https://doi.org/10.1109/tkde.2020.2985952openalex-snapshot
Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System
inferredcites →https://doi.org/10.1109/tpami.2022.3178184openalex-snapshot
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation
inferredcites →https://doi.org/10.1155/2018/5942763openalex-snapshot
Short-Term Origin-Destination Based Metro Flow Prediction with Probabilistic Model Selection Approach
inferredcites →https://doi.org/10.1214/aos/1176344136openalex-snapshot
Estimating the Dimension of a Model
inferredcites →https://doi.org/10.1287/trsc.2022.1128openalex-snapshot
Real-Time Forecasting of Metro Origin-Destination Matrices with High-Order Weighted Dynamic Mode Decomposition
inferredcites →https://doi.org/10.18637/jss.v094.i14openalex-snapshot
CVXR : An R Package for Disciplined Convex Optimization
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inferredcites →https://doi.org/10.3141/1776-25openalex-snapshot
Multivariate Vehicular Traffic Flow Prediction: Evaluation of ARIMAX Modeling
inferredcites →https://doi.org/10.48550/arxiv.2108.03900openalex-snapshot
Completion and Augmentation based Spatiotemporal Deep Learning Approach for Short-Term Metro Origin-Destination Matrix Prediction under Limited Observable Data
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