KVLMM: A Trajectory Prediction Method Based on a Variable-Order Markov Model With Kernel Smoothing

KVLMM: A Trajectory Prediction Method Based on a Variable-Order Markov Model With Kernel Smoothing

With the dramatic proliferation of global positioning system (GPS) devices, a rich range of research has been conducted on the analysis of GPS trajectories. Research on trajectory prediction uses historical trajectory data to forecast future positions. The typical method is to use a statistical mode...

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Bibliographic Details
Main Authors: Xing Wang, Xinhua Jiang, Lifei Chen, Yi Wu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Kernels
suffix array
trajectory pattern
trajectory prediction
variable-order Markov model
Online Access:https://ieeexplore.ieee.org/document/8345219/

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