公安交管大数据分析研判建模分析方法研究

近年来,公安交管部门顺应时代发展趋势,积极探索大数据和人工智能技术应用,目前已初具规模、初显成效。但总体说来,大数据智能化应用的广度、深度和系统性还较为欠缺。如何丰富大数据分析算法模型,有效支撑道路交通安全形势精准研判,提升大数据对交管业务的支撑能力,是摆在公安交管科技工作者面前的一个现实问题。本文探讨了交管业务应用场景与大数据建模之间的结合方式,提出了一套适用于公安交管业务应用场景的大数据建模方法,旨在为公安交管大数据分析研判工作提供参考。

In recent years,traffic management departments have actively explored the applications of big data and artificial intelligence technology in traffic management and have taken some shape and achieved initial results.However,on the whole,the breadth,the depth and the systematicness of the big data application are far from enough.How to enrich the big data analysis models,effectively support the precise analysis and research of road traffic safety situation to improve the supporting capacity of big data to traffic management business is a real problem laying ahead of the scientific and technical workers of public security traffic management.This paper discussed the ways of integrating traffic management application scenarios and big data mathematical modeling,and proposed a set of big data modeling approaches which were applicable for the application scenarios of public security traffic management so as to provide reference for the analysis and research of big data of public security traffic management.