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

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

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 rules of traffic lanes based on naïve Bayesian classification. First, the proposed method (MLIT) uses an adaptive density o...

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Bibliographic Details
Main Authors: Luliang Tang, Xue Yang, Zihan Kan, Qingquan Li
Format: Article
Language:English
Published: MDPI AG 2015-11-01
Series:ISPRS International Journal of Geo-Information
Subjects:
GPS trajectories
adaptive density optimization method
naïve Bayesian classifier
lane-level information
big data
Online Access:http://www.mdpi.com/2220-9964/4/4/2660

Internet

http://www.mdpi.com/2220-9964/4/4/2660

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