Understanding mobility based on GPS data

  title={Understanding mobility based on GPS data},
  author={Yu Zheng and Quannan Li and Yukun Chen and Xing Xie and Wei-Ying Ma},
Both recognizing human behavior and understanding a user's mobility from sensor data are critical issues in ubiquitous computing systems. As a kind of user behavior, the transportation modes, such as walking, driving, etc., that a user takes, can enrich the user's mobility with informative knowledge and provide pervasive computing systems with more context information. In this paper, we propose an approach based on supervised learning to infer people's motion modes from their GPS logs. The… CONTINUE READING
Highly Influential
This paper has highly influenced 42 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 870 citations. REVIEW CITATIONS

23 Figures & Tables



Citations per Year

871 Citations

Semantic Scholar estimates that this publication has 871 citations based on the available data.

See our FAQ for additional information.