An adaptive map-matching algorithm based on hierarchical fuzzy system from vehicular GPS data

An improved hierarchical fuzzy inference method based on C-measure map-matching algorithm is proposed in this paper, in which the C-measure represents the certainty or probability of the vehicle traveling on the actual road. A strategy is firstly introduced to use historical positioning information...

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Bibliographic Details
Published in:	PloS one Vol. 12; no. 12; p. e0188796
Main Authors:	Tang, Jinjun, Zhang, Shen, Zou, Yajie, Liu, Fang
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 05.12.2017 Public Library of Science (PLoS)
Subjects:	Accuracy Adaptive algorithms Adaptive systems Algorithms Analysis Biology and Life Sciences Case studies Computer and Information Sciences Computing time Data collection Driving Earth Sciences Engineering Engineering and Technology Fuzzy logic Fuzzy sets Fuzzy systems Geographic information systems Geography Global Positioning System Global positioning systems GPS Inference International conferences Kalman filters Laboratories Machine learning Matching Methods Navigation systems Physical Sciences Research and Analysis Methods Researchers Roads Roads & highways Sensors Shape recognition Social Sciences Traffic congestion Traffic control Trajectories Trajectories (Physics) Transportation planning
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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