An MCP-enhanced chain-of-thought LLM framework generates individual daily activity-travel chains whose aggregate patterns resemble real mobile signaling data in the Lujiazui case study.
Data-driven generation of spatio-temporal routines in human mobility.Data Mining and Knowledge Discovery, 32(3):787–829, 2018
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A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models
An MCP-enhanced chain-of-thought LLM framework generates individual daily activity-travel chains whose aggregate patterns resemble real mobile signaling data in the Lujiazui case study.