Mobility

RLMob - Deep Reinforcement Learning for Successive Mobility Prediction

Human mobility prediction is an important task in the field of spatiotemporal sequential data mining and urban computing. Despite the extensive work on mining human mobility behavior, little attention was paid to the problem of successive mobility …

Predicting Human Mobility via Attentive Convolutional Network

Predicting human mobility is an important trajectory mining task for various applications, ranging from smart city planning to personalized recommendation system.While most of previous works adopt GPS tracking data to model human mobility, the recent …