Traffic Congestion Management System : An Approach with Machine Learning

Ankush Jain, Ankur Kumar
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引用次数: 1

Abstract

Traffic congestion is one of the major issues that is faced in most of the modern cities. It results from rapid urbanization and has a negative influence upon the society. Hence there is an urgent need for solutions to tackle this issue. This paper presents a traffic congestion management system which will help in predicting and controlling the traffic. The system will make use of Machine Learning technology in R programming language and Big Data analysis.
交通拥堵管理系统:一种机器学习方法
交通拥堵是大多数现代城市面临的主要问题之一。它是快速城市化的结果,对社会产生了负面影响。因此,迫切需要解决这一问题的办法。本文提出了一种交通拥堵管理系统,有助于预测和控制交通。该系统将利用R编程语言中的机器学习技术和大数据分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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