交通拥堵管理系统:一种机器学习方法

The Journal of Innovations Pub Date : 2017-07-01 DOI:10.18701/IMSMANTHAN.V12I01.10338

Ankush Jain, Ankur Kumar

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引用次数: 1

摘要

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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Traffic Congestion Management System : An Approach with Machine Learning

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.

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The Journal of Innovations

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