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Subway Passenger Flow Prediction for Special Events Using Smart Card Data

https://doi.org/10.1109/tits.2019.2902405
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Traffic flow forecasting based on a hybrid model
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Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning
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Time-Aware Multivariate Nearest Neighbor Regression Methods for Traffic Flow Prediction
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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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On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks
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Freeway Travel Time Prediction Using Takagi–Sugeno–Kang Fuzzy Neural Network
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Table of contents
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Evaluating Special Event Transit Demand: A Robust Principal Component Analysis Approach
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Automatic Feature Engineering for Bus Passenger Flow Prediction Based on Modular Convolutional Neural Network
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Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction
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Robust and Responsive Learning of Spatiotemporal Urban Traffic Flow Relationships
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Spatial–Temporal Convolutional Model for Urban Crowd Density Prediction Based on Mobile-Phone Signaling Data
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Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks
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MM-STFlowNet: A Transportation Hub-Oriented Multi-Mode Passenger Flow Prediction Method via Spatial-Temporal Dynamic Graph Modeling
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CSP-AIT-Net: A Contrastive Learning-Enhanced Spatiotemporal Graph Attention Framework for Short-Term Metro OD Flow Prediction With Asynchronous Inflow Tracking
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Joint Short-Term Origin-Destination Demand Prediction for Multimodal Transport Systems
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Computation Resource Optimization for Large-Scale Intelligent Urban Rail Transit: A Mean-Field Game Approach
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Exploring Nonlinear and Interactive Influences of Built Environment on Metro‐To‐Bus Transfer Behavior
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Research on the short-time passenger flow forecast for urban rail transit based on fractal interpolation
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Dynamic Simulation and Organizational Warning Method of Passenger Flow in Metro Hubs Based on Anylogic
inferred← citeshttps://doi.org/10.1155/2019/8514765openalex-snapshot
A Trial‐and‐Error Congestion Pricing Method for Day‐to‐Day Dynamic Network Flows considering Travelers’ Heterogeneous Inertia Patterns
inferred← citeshttps://doi.org/10.1155/2020/5740521openalex-snapshot
A Method for Bus OD Matrix Estimation Using Multisource Data
inferred← citeshttps://doi.org/10.1155/2021/7328056openalex-snapshot
A Novel Hybrid Model for Predicting Traffic Flow via Improved Ensemble Learning Combined with Deep Belief Networks
inferred← citeshttps://doi.org/10.1155/2022/2842949openalex-snapshot
Influential Factor Analysis and Prediction on Initial Metro Network Ridership in Xi’an, China
inferred← citeshttps://doi.org/10.1155/2022/8151520openalex-snapshot
Extracting the Complete Travel Trajectory of Subway Passengers Based on Mobile Phone Data
inferred← citeshttps://doi.org/10.1155/2024/6643018openalex-snapshot
Fine-Grained Passenger Load Prediction Inside Metro Network Via Smart Card Data
inferred← citeshttps://doi.org/10.1155/2024/6833793openalex-snapshot
Short‐Term Interval Prediction of Inbound Passenger Flow of Subway Station under Failure Events
inferred← citeshttps://doi.org/10.1177/0361198120924630openalex-snapshot
How Built Environment Impacts Online Car-Hailing Ridership
inferred← citeshttps://doi.org/10.1177/03611981211037553openalex-snapshot
Short-Term Metro Ridership Prediction During Unplanned Events
inferred← citeshttps://doi.org/10.1177/03611981221086645openalex-snapshot
Naïve Bayes-Based Transition Model for Short-Term Metro Passenger Flow Prediction under Planned Events
inferred← citeshttps://doi.org/10.1177/03611981251362140openalex-snapshot
Modeling Crowdedness at Public Transport Stations During Special Events: A Comparative Study of Eleven Cities
inferred← citeshttps://doi.org/10.1287/trsc.2022.1128openalex-snapshot
Real-Time Forecasting of Metro Origin-Destination Matrices with High-Order Weighted Dynamic Mode Decomposition
inferred← citeshttps://doi.org/10.1371/journal.pone.0262535openalex-snapshot
Travel time prediction of urban public transportation based on detection of single routes
inferred← citeshttps://doi.org/10.19168/jyasar.1775868openalex-snapshot
RAYLI SİSTEM KULLANIM ORANLARININ AÇIKLANABİLİR YAPAY ZEKA İLE DEĞERLENDİRİLMESİ: KENTSEL HAREKETLİLİK PERSPEKTİFİ
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1972527/v1openalex-snapshot
Spatiotemporal trip pattern analysis in a regional bus network with limited automated fare collection data: a case study of the Pioneer Valley
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4465702/v1openalex-snapshot
Analysing Train Delay Impacts on Subway Stations via a Three-stage Approach: An Empirical Study on Shanghai Metro
inferred← citeshttps://doi.org/10.2139/ssrn.4865152openalex-snapshot
A Novel Passenger Travel-Time and Destination Distribution Model for Day-Ahead Forecasting
inferred← citeshttps://doi.org/10.2139/ssrn.5044935openalex-snapshot
Exploring the Lagged Effect of Rainfall on Urban Rail Transit Passenger Flow: A Case Study of Guangzhou, China
inferred← citeshttps://doi.org/10.2139/ssrn.5190034openalex-snapshot
Hps-Mamba: A Hierarchical Position-Encoded Sparse Mamba Network for Metro Origin-Destination Matrix Prediction
inferred← citeshttps://doi.org/10.2139/ssrn.5248455openalex-snapshot
Enhancing Nordic Renewable Energy Prediction: A Synergistic Approach Combining Bayesian VAR and Multi-Temporal Lstm Architectures
inferred← citeshttps://doi.org/10.2139/ssrn.5531856openalex-snapshot
A Contrastive Learning Framework for Multi-Scenario Short-Term Passenger Flow Prediction in Urban Rail Transit Systems
inferred← citeshttps://doi.org/10.26599/htrd.2025.9480077openalex-snapshot
Quantifying volatility characteristics of passenger flow in metro stations based on rolling-window
inferred← citeshttps://doi.org/10.30534/ijeter/2020/203892020openalex-snapshot
Data Prediction of Reject Unit from Manufacturing Company using Auto Regressive Integrated Moving Average (ARIMA) Algorithm
inferred← citeshttps://doi.org/10.3233/jcm-247338openalex-snapshot
Front-end speech processing system with SVM algorithm in rail passenger flow management
inferred← citeshttps://doi.org/10.3233/jifs-232979openalex-snapshot
Passenger flow prediction and management method of urban public transport based on SDAE model and improved Bi-LSTM neural network
inferred← citeshttps://doi.org/10.32604/cmc.2024.047836openalex-snapshot
An Enhanced Multiview Transformer for Population Density Estimation Using Cellular Mobility Data in Smart City
inferred← citeshttps://doi.org/10.3311/pptr.22252openalex-snapshot
Benchmarking Travel Time and Demand Prediction Methods Using Large-scale Metro Smart Card Data
inferred← citeshttps://doi.org/10.3390/app14051949openalex-snapshot
A Novel Spatial–Temporal Deep Learning Method for Metro Flow Prediction Considering External Factors and Periodicity
inferred← citeshttps://doi.org/10.3390/app14188121openalex-snapshot
Multi-Step Passenger Flow Prediction for Urban Metro System Based on Spatial-Temporal Graph Neural Network
inferred← citeshttps://doi.org/10.3390/eng7010047openalex-snapshot
Exploring the Lagged Effect of Rainfall on Urban Rail Transit Passenger Flow: A Case Study of Guangzhou
inferred← citeshttps://doi.org/10.3390/ijerph16183420openalex-snapshot
Effects of Psychological Factors on Modal Shift from Car to Dockless Bike Sharing: A Case Study of Nanjing, China
inferred← citeshttps://doi.org/10.3390/ijgi12010025openalex-snapshot
Forecasting Short-Term Passenger Flow of Subway Stations Based on the Temporal Pattern Attention Mechanism and the Long Short-Term Memory Network
inferred← citeshttps://doi.org/10.3390/math12243929openalex-snapshot
A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting
inferred← citeshttps://doi.org/10.3390/s20030685openalex-snapshot
Short Term Traffic State Prediction via Hyperparameter Optimization Based Classifiers
inferred← citeshttps://doi.org/10.3390/s26196316openalex-snapshot
Adaptive Graph Learning with Persona-Aware Attribution for Event-Resilient Metro Passenger Flow Prediction
inferred← citeshttps://doi.org/10.3390/su11154016openalex-snapshot
Mining Public Opinion on Transportation Systems Based on Social Media Data
inferred← citeshttps://doi.org/10.3390/su13137419openalex-snapshot
Influencing Factor Analysis and Demand Forecasting of Intercity Online Car-Hailing Travel
inferred← citeshttps://doi.org/10.3390/su132313191openalex-snapshot
Contextual Route Recommendation System in Heterogeneous Traffic Flow
inferred← citeshttps://doi.org/10.3390/su14159666openalex-snapshot
How Determinants Affect Transfer Ridership between Metro and Bus Systems: A Multivariate Generalized Poisson Regression Analysis Method
inferred← citeshttps://doi.org/10.3390/su16229615openalex-snapshot
Urban Transportation Data Research Overview: A Bibliometric Analysis Based on CiteSpace
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AUTOMATIC IDENTIFICATION AND QUANTIFICATION OF SAFETY RISKS EMBEDDED IN DESIGN STAGE: A BIM-ENHANCED APPROACH
inferred← citeshttps://doi.org/10.3934/era.2022203openalex-snapshot
BO-B&B: A hybrid algorithm based on Bayesian optimization and branch-and-bound for discrete network design problems
inferred← citeshttps://doi.org/10.48550/arxiv.2009.02880openalex-snapshot
Crowding Prediction of In-Situ Metro Passengers Using Smart Card Data
inferred← citeshttps://doi.org/10.5194/isprs-archives-xliii-b4-2022-403-2022openalex-snapshot
SPATIOTEMPORAL GRAPH CONVOLUTIONAL NEURAL NETWORKS FOR METRO FLOW PREDICTION
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