Abstract
To improve urban road congestion detection and governance efficiency of city, this paper puts forward spatial-temporal analysis method for urban road congestion of multiprocessor parallel clustering based on potential field correction, establishes spatial-temporal model of urban road congestion based on temporal data of GIS four-dimensional space and constructs multiprocessor parallel clustering method by utilising potential field correction method and designs parallel multiprocessing detection method of urban road congestion of distance matrix, neighbourhood radius and density function. Experimental result verifies effectiveness of method mentioned and it shows that method mentioned can realise fast and effective detection analysis of urban road congestion and provides data support for urban road congestion management.
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