Data Efficiency

Individualized Passenger Travel Pattern Multi-Clustering based on Graph Regularized Tensor Latent Dirichlet Allocation

Individual passenger travel patterns have significant value in understanding passenger’s behavior, such as learning the hidden clusters of locations, time, and passengers. The learned clusters further enable commercially beneficial actions such as …

Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile

This paper is awarded with IEEE CASE 2020 Best Conference Paper Award