A Survey on Deep Learning for Human Mobility

The study of human mobility is crucial due to its impact on several aspects our society, such as disease spreading, urban planning, well-being, pollution, and more. proliferation digital data, phone records, GPS traces, social media posts, combined with the predictive power artificial intelligence, triggered application deep learning mobility. Existing surveys focus single tasks, data sources, mechanistic or traditional machine approaches, while a comprehensive description solutions missing. This survey provides taxonomy discussion challenges related each task how may overcome limitations models, most relevant tasks described above, for future. Our guide leading next-location prediction, crowd flow trajectory generation, generation. At same time, it helps scientists practitioners understand fundamental concepts open