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

• 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
• DOI: 10.1186/s13638-019-1450-0

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 based on the traffic accident data, this article firstly carries out the wavelet decomposition of the incident data of time series to realize the problem optimization of sparse matrix and then studies the spatial differentiation pattern of traffic accidents through the k -means clustering method. And under the formed differentiation pattern, the spatial and temporal laws of the incident are deeply analyzed. Finally, accident causes based on vehicle information system data are analyzed. The results show that the traffic accident space in Beijing is divided into 5 categories, among which, the hot spot space is the area with large traffic volume, diverse driver quality, or the junction of urban and rural roads, and the vehicle information system distracting the driver’s attention is also the cause of accidents from a micro view through vehicle information system data.