8 papers
Top-k queries over digital traces
Yifan Li, Xiaohui Yu, Nick Koudas
Recent advances in social and mobile technology have enabled an abundance of digital traces (in the form of mobile check-ins, association of mobile devices to specific WiFi hotspot…
MPE: A Mobility Pattern Embedding Model for Predicting Next Locations
Meng Chen, Xiaohui Yu, Yang Liu
The wide spread use of positioning and photographing devices gives rise to a deluge of traffic trajectory data (e.g., vehicle passage records and taxi trajectory data), with each r…
TTDM: A Travel Time Difference Model for Next Location Prediction
Qingjie Liu, Yixuan Zuo, Xiaohui Yu +1
Next location prediction is of great importance for many location-based applications and provides essential intelligence to business and governments. In existing studies, a common…
TraLFM: Latent Factor Modeling of Traffic Trajectory Data
Meng Chen, Xiaohui Yu, Yang Liu
The widespread use of positioning devices (e.g., GPS) has given rise to a vast body of human movement data, often in the form of trajectories. Understanding human mobility patterns…
NLPMM: a Next Location Predictor with Markov Modeling
Meng Chen, Yang Liu, Xiaohui Yu
In this paper, we solve the problem of predicting the next locations of the moving objects with a historical dataset of trajectories. We present a Next Location Predictor with Mark…
PCNN: Deep Convolutional Networks for Short-term Traffic Congestion Prediction
Meng Chen, Xiaohui Yu, Yang Liu
Traffic problems have seriously affected people's life quality and urban development, and forecasting the short-term traffic congestion is of great importance to both individuals a…