Work

FlightRAG: Retrieval-Augmented Aircraft Trajectory Prediction via Cross-Modality Adaptation for a Large Language Model

Year: 2026

Type: software

Abstract: Code of the paper: T. Phisannupawong, H. Kim, and H.-L. Choi, "FlightRAG: Retrieval-Augmented Aircraft Trajectory Prediction via Cross-Modality Adaptation for a Large Language Model," 2026 (under review). The files are restricted during peer review and will be made openly available upon publication. The archive contains the model, training and evaluation code (flightrag/), the benchmark preprocessing scripts (preprocess/), and the shared trajectory store and metric (baselines/). README.md describes the expected data layout and how to build the training data.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23808878

Authors: Phisannupawong, Thaweerath, Kim, Heeyeon, Choi, Han-Lim

Institution: Korea Advanced Institute of Science and Technology

Language: English

Topic: Air Traffic Management and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: Korea Agency for Infrastructure Technology Advancement, Ministry of Science and ICT, South Korea, Chung Mong-Koo Foundation

OpenAlex ID: W7224885221

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Related to: 10