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.

DOI: 10.1504/IJRIS.2017.090040

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 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article