A hybrid generator and LLM framework scales adaptive urban mobility simulation to 53,000 agents, demonstrated in a Westwood, Los Angeles case study.
Understanding individual human mobility patterns,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
MobiVerse: Scaling Urban Mobility Simulation with Hybrid Lightweight Domain-Specific Generator and Large Language Models
A hybrid generator and LLM framework scales adaptive urban mobility simulation to 53,000 agents, demonstrated in a Westwood, Los Angeles case study.