Title: Parallel cluster analysis of multi city congestion based on spatial temporal potential correction in mobile phone APP
Authors: Shi Jin
Addresses: School of Software, Changsha Social Work College, Changsha, Hunan, 410004, China
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.
Keywords: spatial-temporal analysis; parallel clustering; urban road congestion; GIS four-dimensional space; spatial-temporal model.
International Journal of Reasoning-based Intelligent Systems, 2017 Vol.9 No.3/4, pp.130 - 136
Received: 27 Apr 2017
Accepted: 29 May 2017
Published online: 27 Feb 2018 *