urban-mobility-generation/Language-Modeling-for-Urban-Mobility
Language Modeling for Urban Mobility: A Data-Centric Review and Guidelines
This project is a curated collection of resources for urban planners, transportation researchers, and city scientists exploring how to use advanced AI techniques, specifically language models, to understand and predict urban mobility patterns. It shows how to convert diverse mobility data—like GPS traces, sensor readings, or traffic flows—into formats compatible with language models. The output provides insights into urban dynamics, helping to improve city planning and transportation systems.
Use this if you are a researcher or practitioner in urban planning or transportation who wants to leverage cutting-edge language modeling AI for analyzing complex urban movement data.
Not ideal if you are looking for an out-of-the-box software tool or direct code implementation rather than a research review and guidelines.
Stars
9
Forks
1
Language
—
License
MIT
Category
Last pushed
Jan 14, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/urban-mobility-generation/Language-Modeling-for-Urban-Mobility"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
BradyFU/Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
FoundationVision/Liquid
(Accepted by IJCV) Liquid: Language Models are Scalable and Unified Multi-modal Generators
Paranioar/Awesome_Matching_Pretraining_Transfering
The Paper List of Large Multi-Modality Model (Perception, Generation, Unification),...
Yangyi-Chen/Multimodal-AND-Large-Language-Models
Paper list about multimodal and large language models, only used to record papers I read in the...
thuml/AutoTimes
Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"