Publication
ICPR 2012
Conference paper

Map matching with Hidden Markov Model on sampled road network

Abstract

This paper presents a map matching method based on an ideal Hidden Markov Model (HMM) to find a sequence of roads that corresponds to a given sequence of raw GPS points. Our method is a simplification of the more-complex HMM-based method that maintains its capabilities to cope with the noises and sparsity of the raw GPS data. We test the method with the real-world raw GPS data that is publicly available. Experiments show that despite its simplicity, the proposed method performs sufficiently well under sparse GPS points and sparse road network data. © 2012 ICPR Org Committee.

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ICPR 2012

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