How do you go where? Improving next location prediction by learning travel mode information using transformers. (arXiv:2210.04095v1 [cs.LG])

Predicting the next visited location of an individual is a key problem in
human mobility analysis, as it is required for the personalization and
optimization of sustainable transport options. Here, we propose a transformer
decoder-based neural network to predict the next location an individual will
visit based on historical locations, time, and travel modes, which are
behaviour dimensions often overlooked in previous work. In particular, the
prediction of the next travel mode is designed as an auxiliary task to help …

arxiv information location prediction transformers travel