On the public citation graph
Data-driven aircraft estimated time of arrival prediction
0 signed · 34 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/s1366-5545(99)00026-5openalex-snapshot
The relationship between on-time performance and airline market share: a new approach
inferredcites →https://doi.org/10.1109/icdmw.2010.128openalex-snapshot
Predicting Travel Times with Context-Dependent Random Forests by Modeling Local and Aggregate Traffic Flow
inferredcites →https://doi.org/10.2514/6.2003-5629openalex-snapshot
Physics-Based and Parametric Trajectory Prediction Performance Comparison for Traffic Flow Management
inferredcites →https://doi.org/10.3828/jtep.2012.46.2.157openalex-snapshot
The Hidden Cost of Airline Unpunctuality
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4760727openalex-extracted
Investigation on Weather- and Trajectory-Based Features to Improve Airspace-Specific Aircraft Arrival Transit Time Prediction
inferred← citeshttps://doi.org/10.1007/s11227-024-06060-6openalex-snapshot
A deep learning-based approach for predicting in-flight estimated time of arrival
inferred← citeshttps://doi.org/10.1016/j.ifacol.2023.11.008openalex-snapshot
Prediction of aircraft estimated time of arrival using a supervised learning approach
inferred← citeshttps://doi.org/10.1016/j.orp.2018.08.004openalex-snapshot
Prescriptive analytics in airline operations: Arrival time prediction and cost index optimization for short-haul flights
inferred← citeshttps://doi.org/10.1016/j.trc.2023.104065openalex-snapshot
Prediction of Estimated Time of Arrival for Multi-Airport Systems Via "Bubble" Mechanism
inferred← citeshttps://doi.org/10.1016/j.trpro.2026.01.019openalex-snapshot
Determination of the Expected Landing Time Calculation Accuracy
inferred← citeshttps://doi.org/10.1017/aer.2021.13openalex-snapshot
Prediction of aircraft estimated time of arrival using machine learning methods
inferred← citeshttps://doi.org/10.1109/dasc43569.2019.9081637openalex-snapshot
En-route arrival time prediction via locally weighted linear regression and interpolation
inferred← citeshttps://doi.org/10.1109/dasc58513.2023.10311140openalex-snapshot
Multi-agent Aircraft Estimated Time of Arrival Prediction in Terminal Airspace
inferred← citeshttps://doi.org/10.1109/dasc62030.2024.10748919openalex-snapshot
Urban Air Mobility Fleet Rebalancing with Real-Time Updates on Estimated Time of Arrival
inferred← citeshttps://doi.org/10.1109/iccasit50869.2020.9368723openalex-snapshot
A High-precision Method of Flight Arrival Time Estimation based on XGBoost
inferred← citeshttps://doi.org/10.1109/mits.2021.3132766openalex-snapshot
A Spatiotemporal Neural Network Model for Estimated-Time-of-Arrival Prediction of Flights in a Terminal Maneuvering Area
inferred← citeshttps://doi.org/10.1109/seaa.2019.00035openalex-snapshot
Real-Time Estimated Time of Arrival Prediction System using Historical Surveillance Data
inferred← citeshttps://doi.org/10.1109/taes.2025.3596574openalex-snapshot
Two-Layer Fusion Multistep Flight Safety Parameter Prediction and Early Warning Strategy Based on QAR Parameters
inferred← citeshttps://doi.org/10.1145/3219819.3219874openalex-snapshot
Predicting Estimated Time of Arrival for Commercial Flights
inferred← citeshttps://doi.org/10.1145/3241403.3241434openalex-snapshot
Real-time prediction of flight arrival times using surveillance information
inferred← citeshttps://doi.org/10.1177/03611981221150401openalex-snapshot
Detailed Analysis of Aircraft Fuel Flow Using Data from Flight Data Recorder
inferred← citeshttps://doi.org/10.15394/ijaaa.2020.1521openalex-snapshot
Prediction of Gate In Time of Scheduled Flights and Schedule Conformance using Machine Learning-based Algorithms
inferred← citeshttps://doi.org/10.2139/ssrn.6368104openalex-snapshot
ASTF-Net: Geometry-Aware Synchronization of Asynchronous Flight Trajectories for Estimated Time of Arrival Prediction
inferred← citeshttps://doi.org/10.2514/6.2018-3670openalex-snapshot
En Route Flight Time Prediction Under Convective Weather Events
inferred← citeshttps://doi.org/10.2514/6.2021-2402openalex-snapshot
A Machine Learning Approach to Predict Aircraft Landing Times using Mediated Predictions from Existing Systems
inferred← citeshttps://doi.org/10.2514/6.2026-1197openalex-snapshot
Integrating Terminal Airspace Weather Profiles Into Machine Learning Models for ETA Prediction Within the Terminal Maneuvering Area (TMA)
inferred← citeshttps://doi.org/10.32604/cmc.2022.021657openalex-snapshot
Estimating Fuel-Efficient Air Plane Trajectories Using Machine Learning
inferred← citeshttps://doi.org/10.3390/aerospace11120991openalex-snapshot
Predictability of Flight Arrival Times Using Bidirectional Long Short-Term Memory Recurrent Neural Network
inferred← citeshttps://doi.org/10.3390/engproc2021013003openalex-snapshot
On the Use of Deep Neural Networks to Improve Flights Estimated Time of Arrival Predictions
inferred← citeshttps://doi.org/10.3390/logistics4010001openalex-snapshot
Travel Time Prediction in a Multimodal Freight Transport Relation Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.3390/proceedings2020059005openalex-snapshot
Using Open Source Data for Landing Time Prediction with Machine Learning Methods
inferred← citeshttps://doi.org/10.59490/ejtir.2025.25.1.7488openalex-snapshot
Combining Machine Learning Models to Improve Estimated Time of Arrival Predictions
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.