Large Language Models for Urban Mobility
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.
Authors
- Mohamed F. Mokbel (ORCID: https://orcid.org/0000-0002-6686-1757)
- Youssef Hussein
- Mohamed Hemdan (ORCID: https://orcid.org/0000-0003-4103-5974)
Institutions
- University of Minnesota (US)
Publication Details
- Published
- 2025-06-02
- DOI
- https://doi.org/10.1109/mdm65600.2025.00041
- Primary Topic
- Human Mobility and Location-Based Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation