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Personalized Trajectory Reconstruction Problem with low-sampling data

Authors:
Edison Ospina
Francisco Moreno

Keywords: Personalized Route Planning Systems; Location-Based Services; Trajectory Reconstruction; Uncertainty

Abstract:
A huge amount of trajectory data can be derived from GPS equipped devices and location based services. However, the trajectory data are low-sampled (i.e., have a low and irregular sampling rate). In this paper, the problem of Personalized Route/Trajectory Reconstruction is reviewed when low-sampling data are considered or user criteria are incorporated in the reconstruction. Research work in route planning systems and the most used routing algorithms are also analyzed in order to suggest research directions that include the level of personalization or uncertainty management as a way to predict/complete a low-sampling trajectory.

Pages: 117 to 122

Copyright: Copyright (c) IARIA, 2015

Publication date: February 22, 2015

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-383-4

Location: Lisbon, Portugal

Dates: from February 22, 2015 to February 27, 2015