mlsanityData to 7 Oct 2026

Using LLMs for Analyzing AIS Data

arXiv 2504.07557 ↗First posted 10 Apr 2025cs.LGcited by 1

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Abstract (arXiv)

Recent research in Large Language Models (LLMs), has had a profound impact across various fields, including mobility data science. This paper explores the and experiment with different approaches to using LLMs for analyzing AIS data. We propose a set of carefully designed queries to assess the reasoning capabilities of LLMs in this kind of tasks. Further, we experiment with four different methods: (1) using LLMs as a natural language interface to a spatial database, (2) reasoning on raw data, (3) reasoning on compressed trajectories, and (4) reasoning on semantic trajectories. We investigate the strengths and weaknesses for the four methods, and discuss the findings. The goal is to provide valuable insights for both researchers and practitioners on selecting the most appropriate LLM-based method depending on their specific data analysis objectives.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 12 of its 47 references that are in the map. First posted on arXiv 10 Apr 2025.

Builds on

12 of 47 references.

References · 12

  1. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,601
  2. 2024Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQLcited by 118
  3. 2023Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlookcited by 109
  4. 2024Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generationcited by 99
  5. 2023K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilizationcited by 69
  6. 2023Autonomous GIS: the next-generation AI-powered GIScited by 52
  7. 2023LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?cited by 40
  8. 2019A Comparative Survey of Recent Natural Language Interfaces for Databasescited by 33
  9. 2023GeoGalactica: A Scientific Large Language Model in Geosciencecited by 32
  10. 2024How Can Large Language Models Understand Spatial-Temporal Data?cited by 31
  11. 2023Philosophical Foundations of GeoAI: Exploring Sustainability, Diversity, and Bias in GeoAI and Spatial Data Sciencecited by 11
  12. 2023MaaSDB: Spatial Databases in the Era of Large Language Models (Vision Paper)cited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Context-Enriched Natural Language Descriptions of Vessel Trajectoriescited by 0

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  1. 2025Understanding the Geospatial Reasoning Capabilities of LLMs: A Trajectory Recovery Perspective
  2. 2024Large Language Models are Zero-Shot Next Location Predictors
  3. 2023Where Would I Go Next? Large Language Models as Human Mobility Predictors
  4. 2025Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses
  5. 2025MoveFM-R: Advancing Mobility Foundation Models via Language-driven Semantic Reasoning
  6. 2023Evaluation of Large Language Models for Decision Making in Autonomous Driving
  7. 2026Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support
  8. 2023Are Large Language Models Geospatially Knowledgeable?