Spatial analysis of traffic accidents based on WaveCluster and vehicle communication system data

The frequent occurrence of traffic accidents has always been an important problem troubling traffic safety management, so exploring the law and characteristics of case occurrence in a space area has profound significance for the prevention of traffic accidents. Starting from the space-time angle and...

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Bibliographic Details
Published in:	EURASIP journal on wireless communications and networking Vol. 2019; no. 1; pp. 1 - 10
Main Authors:	Zhang, Junhui, Shi, Tuo
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 22.05.2019 Springer Nature B.V SpringerOpen
Subjects:	Accident data Cluster analysis Clustering Communications Engineering Communications systems Differentiation Distributed Big Data Processing in SCADA Communication Networks Drivers Engineering Information systems Information Systems Applications (incl.Internet) K-means clustering Laws Networks Optimization Rural roads Safety management Secure vehicle communication system Signal,Image and Speech Processing Spatial analysis Spatial differentiation Traffic accidents Traffic accidents & safety Traffic management Traffic safety Traffic volume Vector quantization Wavelet analysis Wavelet analysis means clustering Spatial differentiation Secure vehicle communication system
ISSN:	1687-1499, 1687-1472, 1687-1499
Online Access:	Get full text
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