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Abstract
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Social network congestion and vehicle road traffic accident with reference to the source of information for the detection of the event, as has been used in recent years. In this paper, we analyze the traffic situation and to identify the Twitter stream to provide real-time monitoring system. The system according to different search criteria, brings tweets from Twitter. Tweets are text-mining operations through the application of techniques, and ultimately lead Rating tweets. The traf c incident or not, appropriate class tag is set for each Tweet. The traffic on the Internet news sites, often in different areas of the Italian road network traffic in real-time monitoring system for detection work, and to allow for the real-time traffic incident detection. We support vector machine is used as a model site, and we are the site of the binary problem (non-commercial traffic tweets v) solution has achieved 95.75% accuracy standards. We have the distinction of traffic through an external event or not, multiclass classification problems and were able to get the value of precision.
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Keywords: Twitter-Traffic-Status
Language: en |