Smart Mobility

Advanced Machine Learning for Smart Transportation (with GaTech)

Intelligent Transport Systems (ITS) have been an essential chapter in smart city blueprint. There are numbers of real practical applications of ITS: For instance, when you are driving on the road, the ITS could predict how crowded the traffic will be …

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 …

Tensor Topic Models with Graphs and Applications on Individualized Travel Patterns

Individualized passenger travel pattern is of significant research value since the abundant information from individual trajectory data could help discover the useful insights about the multi-clustering of origin, destination, time, etc., and the …

Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile

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