PyTorch implementation of the paper-"Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network"
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Updated
Mar 19, 2024 - Python
PyTorch implementation of the paper-"Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network"
LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction
Trung Kien Vu and Sungoh Kwon, “Mobility-Assisted on-Demand Routing Algorithm for MANETs in the Presence of Location Errors,” The Scientific World Journal, vol. 2014, Article ID 790103, 11 pages, 2014. doi:10.1155/2014/790103
This dataset born from the need of mobility traces provided with demographics data of the users and it allows to define several classes of users with their most relevant places. Using probability distributions, it can be used to generate slotted mobility traces for different users.
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