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Improving arrival time prediction of Thailand's passenger trains using historical travel times
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/atr.193openalex-snapshot
Railway passenger train delay prediction via neural network model
inferredcites →https://doi.org/10.1109/beiac.2012.6226102openalex-snapshot
Rail passenger service delays: An overview
inferredcites →https://doi.org/10.1109/cso.2012.111openalex-snapshot
Bus Arrival Time Prediction Based on the k-Nearest Neighbor Method
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Dynamic Spatio-Temporal Graph Convolutional Network for Railway Train Delay Prediction Using Dynamic Bayesian Network
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Railway Network Delay Evolution: A Heterogeneous Graph Neural Network Approach
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Predictive models for influence of primary delays using high‐speed train operation records
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Punctuality Predictions in Public Transportation: Quantifying the Effect of External Factors
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Reliable Train Delay Forecasting with Conformal Prediction
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Delay Prediction System for Large-Scale Railway Networks Based on Big Data Analytics
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Arrival Time Prediction and Train Tracking Analysis
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Arrival Train Delays Prediction Based on Gradient Boosting Regression Tress
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Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories
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Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization
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Train Delay Prediction Systems: A Big Data Analytics Perspective
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A train delay prediction approach for High-Speed railway considering spatiotemporal logical relationships in train operation
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133722openalex-snapshot
Propagation-pattern-aware soft-gated graph attention network for multi-train delay prediction and propagation-risk warning in high-speed railways
inferred← citeshttps://doi.org/10.1016/j.jrtpm.2022.100312openalex-snapshot
A review of train delay prediction approaches
inferred← citeshttps://doi.org/10.1016/j.procs.2020.07.103openalex-snapshot
Predict France trains delays using visualization and machine learning techniques
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Analyzing passenger train arrival delays with support vector regression
inferred← citeshttps://doi.org/10.1016/j.trc.2022.103606openalex-snapshot
Prediction of train arrival delays considering route conflicts at multi-line stations
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Identifying the rail operating features associated to intermodal freight rail operation delays
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An estimation framework to quantify railway disruption parameters
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A Disturbance-Driven Textual Model for Train Running Time Prediction on High-Speed Railways
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Forecasting near-term arrival delay times in freight rail operations with data-driven models
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11402244openalex-snapshot
Clustering Analysis of Railway Delay Incidents: A Case Study of Bangkok's Airport Rail Link
inferred← citeshttps://doi.org/10.1109/dsaa.2016.57openalex-snapshot
Advanced Analytics for Train Delay Prediction Systems by Including Exogenous Weather Data
inferred← citeshttps://doi.org/10.1109/itsc.2018.8569507openalex-snapshot
Estimating Long-Term Delay Risk with Generalized Linear Models
inferred← citeshttps://doi.org/10.1109/itsc.2019.8916868openalex-snapshot
Towards a General Prediction System for the Primary Delay in Urban Railways
inferred← citeshttps://doi.org/10.1109/itsc45102.2020.9294186openalex-snapshot
A Train Arrival Delay Prediction model using XGBoost and Bayesian Optimization
inferred← citeshttps://doi.org/10.1109/itsc45102.2020.9294457openalex-snapshot
A delay prediction model for high-speed railway: an extreme learning machine tuned via particle swarm optimization
inferred← citeshttps://doi.org/10.1109/tits.2024.3409754openalex-snapshot
Bayesian Spatio-Temporal Graph Convolutional Network for Railway Train Delay Prediction
inferred← citeshttps://doi.org/10.1109/tsmc.2017.2693209openalex-snapshot
Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout
inferred← citeshttps://doi.org/10.1186/s12544-024-00704-7openalex-snapshot
AP-GRIP evaluation framework for data-driven train delay prediction models: systematic literature review
inferred← citeshttps://doi.org/10.23919/icmu48249.2019.9006636openalex-snapshot
A Smartphone Application that Automatically Provides Arrival Time based on Estimation of Train on Board
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Estimation time of arrival for tram vehicles
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A Predictive–Proactive Approach for Slot Management of a Loading Facility With Truck ETA Information
inferred← citeshttps://doi.org/10.3390/app162010120openalex-snapshot
Adaptive Time of Arrival (ETA) Prediction in Light Rail Transport Systems Using Regression and Nodal Segmentation: CDMX Light Rail Case Study
inferred← citeshttps://doi.org/10.3929/ethz-b-000420036openalex-snapshot
Approaches for real-time train delay prediction
inferred← citeshttps://doi.org/10.4018/978-1-5225-3176-0.ch014openalex-snapshot
Big Data Analytics for Train Delay Prediction
inferred← citeshttps://doi.org/10.58837/chula.the.2017.152openalex-snapshot
TRAVEL TIME ESTIMATION AND PREDICTION FOR URBAN ARTERIAL ROADS
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Development and implementation of learning models for railway operations in main stations
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