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Large Language Models for Urban Mobility

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This Advanced Seminar provides a comprehensive overview of the research landscape of employing Large Language Models (LLMs) for Urban Mobility applications. The presented work in this seminar is categorized based on how LLMs are employed to serve various urban mobility applications. This goes from employing LLMs as a black box with a bit of prompt engineering, to fine-tuning LLMs to fit urban mobility applications, to completely retrain a vanilla LLM architecture with urban mobility data, to modifying the internal LLM loss function to fit urban mobility applications. The seminar concludes by presenting a set of benchmarking and evaluation work while pointing out to research gaps, open problems, and future research directions for employing LLMs to urban mobility applications.

Original languageEnglish (US)
Title of host publicationProceedings - 2025 26th IEEE International Conference on Mobile Data Management, MDM 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages175-178
Number of pages4
ISBN (Electronic)9798331525699
DOIs
StatePublished - 2025
Event26th IEEE International Conference on Mobile Data Management, MDM 2025 - Irvine, United States
Duration: Jun 2 2025Jun 5 2025

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
ISSN (Electronic)2375-0324

Conference

Conference26th IEEE International Conference on Mobile Data Management, MDM 2025
Country/TerritoryUnited States
CityIrvine
Period6/2/256/5/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

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