ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774


Dynamic Road Traffic Detection from TwitterStream

Abstract

Traffic congestion is a most hugeproblem all of us are facing nowadays. Peoples are suffering in terms of moneyand time.In this paper, we present a system to dynamically analysis road  traffic and itscauses, we know that there are various Popular social networkingsites to perform real-time detection of traffic-related information. In thispaper we are using Twitter from that twitter, collecting traffic and nontraffic related   tweets, automaticallyClassified traffic-related messages posted on Twitter, among the millions ofunrelated messages posted by users. on Twitter, From that traffic relatedmessages easily analysis traffic on particular area and reduces the traffic. bydetection of real-time traffic events from Twitter stream and traffic &gives that real time information on Television, FM  as a news bulletin, because of this trafficis reduces and control the crowd on the road.

Keywords:-Component,formatting, style, styling, insert.

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