Novel Mobile Motion Prediction Algorithm for Predicting Pedestrian’s Next Location

Conference paper
First Online:
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 393)

Abstract

This paper describes a novel mobile motion prediction algorithm to meet the need of today’s mobile system and application which is based on Markov model. As in different time period, the things people always do usually are different, so does the route they have taken. It provides a way to constrain the path sample with time interval to enhance the prediction. In the end, the prediction accuracy is experimented up to 92 %.

Keywords

Location prediction Trajectory mining GPS trajectory analysis 
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Notes

Acknowledgments

The authors of this paper are thankful to the financial supports of the grant offered with code: MYRG2015-00024, called “Building Sustainable Knowledge Networks through Online Communities”, by RDAO, University of Macau.

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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  1. 1.Department of Computer and Information ScienceUniversity of MacauMacau SarPeople’s Republic of China

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