[HTML][HTML] Lane-level road information mining from vehicle GPS trajectories based on naïve bayesian classification

L Tang, X Yang, Z Kan, Q Li - ISPRS International Journal of Geo …, 2015 - mdpi.com
In this paper, we propose a novel approach for mining lane-level road network i nformation
from low-precision vehicle GPS trajectories (MLIT), which includes the number and turn …

[PDF][PDF] Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naïve Bayesian Classification

L Tang, X Yang, Z Kan, Q Li - researchgate.net
In this paper, we propose a novel approach for mining lane-level road network information
from low-precision vehicle GPS trajectories (MLIT), which includes the number and turn …

[PDF][PDF] Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naïve Bayesian Classification

L Tang, X Yang, Z Kan, Q Li - pdfs.semanticscholar.org
In this paper, we propose a novel approach for mining lane-level road network information
from low-precision vehicle GPS trajectories (MLIT), which includes the number and turn …

Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naïve Bayesian Classification.

L Tang, X Yang, Z Kan, Q Li - ISPRS International Journal of …, 2015 - search.ebscohost.com
In this paper, we propose a novel approach for mining lane-level road network information
from low-precision vehicle GPS trajectories (MLIT), which includes the number and turn …

Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naïve Bayesian Classification

L Tang, X Yang, Z Kan, Q Li - ISPRS International Journal of …, 2015 - ui.adsabs.harvard.edu
In this paper, we propose a novel approach for mining lane-level road network information
from low-precision vehicle GPS trajectories (MLIT), which includes the number and turn …

[PDF][PDF] Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naïve Bayesian Classification

L Tang, X Yang, Z Kan, Q Li - scholar.archive.org
In this paper, we propose a novel approach for mining lane-level road network information
from low-precision vehicle GPS trajectories (MLIT), which includes the number and turn …

[引用][C] Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naïve Bayesian Classification

L Tang, X Yang, Z Kan, Q Li - 2015