期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2015
卷号：4
期号：3
页码：492-496
出版社：IJCSN publisher
摘要：In recent years, traffic has emerged as a ubiquitous problem faced by thousands of commuters on daily basis. With the, ever-increasing number of vehicles emerging on road, the problem does not seem to fade away. It poses a strikingly major conundrum to a large number of people. Using the analysis we use Twitter as our Database and aim to find the traffic-prone areas (e.g. In Delhi) so that people are familiar with the areas, which are highly prone to Traffic. In this paper, we demonstrate how social media content can be used to predict real-world outcomes. In particular, we use tweets made from twitter handles to forecast traffic prone areas in a specified region. We further analyze those numbers using linear regression to find which area is more prone to traffic.
