大数据技术在城市交通拥堵治理中的应用  

Application of Big Data Technology in Urban Traffic Congestion Management

作　　者：高桃桃 刘建华 GAO Tao-tao;LIU Jian-hua(Lianyungang Jereh Electronics Co.,Ltd.Lianyungang City,Jiangsu Province 222061)

机构地区：[1]连云港杰瑞电子有限公司,江苏连云港222061

出　　处：《软件》2020年第8期158-160,共3页Software

摘　　要：我国作为人口大国,城市交通问题一直处于比较紧迫的状态,加之汽车产品的普及,导致城市交通拥堵情况愈发严重,严重影响了人们出行便利与社会运作效率,因此必须要对当前城市交通拥堵进行治理。但交通拥堵涉及范围十分广泛,其中存在的信息量庞大,同时各信息之间还有复杂的连接关系,这时人工几乎不可能直接处理这些信息,治理工作的作用有限,这时大数据技术应运而出,利用该项技术能够帮助我们去处理城市交通拥堵信息,简化交通信息处理流程,并降低相关工作难度,说明通过该项技术能够提高治理工作能效。对此本文将分析大数据技术在城市交通拥堵治理中的应用。As a populous country in China,urban traffic problems have always been in a relatively urgent state,coupled with the popularization of automobile products,resulting in more and more serious urban traffic congestion,which has seriously affected people’s travel convenience and social operation efficiency.Congestion is governed.However,the scope of traffic congestion is very wide.There is a huge amount of information in it.At the same time,there are complex connections between various information.At this time,it is almost impossible for humans to directly process this information,and the role of governance is limited.At this time,big data technology should be applied.Moreover,the use of this technology can help us deal with urban traffic congestion information,simplify the traffic information processing process,and reduce the difficulty of related work,indicating that this technology can improve the energy efficiency of governance.This article will analyze the application of big data technology in urban traffic congestion management.

关 键 词：大数据技术 城市交通拥堵治理 交通质量 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]