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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Príomhchruthaitheoirí:	Luliang Tang, Xue Yang, Zihan Kan, Qingquan Li
Formáid:	Artigo
Teanga:	Inglês
Foilsithe / Cruthaithe:	MDPI AG 2015-11-01
Sraith:	ISPRS International Journal of Geo-Information
Ábhair:	GPS trajectories adaptive density optimization method naïve Bayesian classifier lane-level information big data
Rochtain ar líne:	http://www.mdpi.com/2220-9964/4/4/2660
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Lane-Level Road Information Mining from Vehicle GPS Trajectories Based on Naïve Bayesian Classification

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