LingoTrip: Spatiotemporal context prompt driven large language model for individual trip prediction

Large language models (LLMs) showed superior performance in many language-related tasks. It is promising to model the individual mobility prediction problem as a language model and use pretrained LLMs to predict the individual next trip information (e.g., time and location) for personalized travel r...

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Bibliographic Details
Main Authors: Zhenlin Qin, Pengfei Zhang, Leizhen Wang, Zhenliang Ma
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Journal of Public Transportation
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Online Access:http://www.sciencedirect.com/science/article/pii/S1077291X25000025
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