Extraction of Urban Hot Sections Based on Spatial Correlation

doi:10.13474/j.cnki.11-2246.2018.0179

Abstract

Abstract: The rapid increase of the amount of urban motor vehicles has brought serious traffic jams.In order to release the pressure of urban traffic,an extraction method of urban hot sections was proposed.Combining with the data of taxi track,the spatial weight matrix was set up with the rule of topological adjacency.Then the global relevance of traffic volume in various sections was analyzed.Next,the traffic hot sections were extracted based on local correlation statistics,and the distribution of traffic hot sections in different periods at workdays was analyzed.Finally,the hot section which has been extracted was simulated by using VISSIM software.The results show that the affiliation degree of the road section which needs to be verified was 0.512,which indicates that the algorithm is able to extract urban traffic hot sections effectively.

Key words: spatial correlation, hot sections, traffic, spatial weight matrix, VISSIM

CLC Number:

P208

LIU Jialiang, SUN Lishuang. Extraction of Urban Hot Sections Based on Spatial Correlation[J]. 测绘通报, 2018, 0(6): 73-77.

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