Traffic analysis of urban emergency events using social media data

Social media data are used to reduce road traffic. A novel platform for providing geographical information are done by the social media feeds. The content from social media usually includes references to urban emergency events occurring at, or affecting specific locations. The detection of urban emergency events are done using the 5W Model. The spatial and temporal information from the social media are extracted to detect the real time event. We point out the advantages of detecting urban emergency events with more accuracy and efficiency of the proposed method and with great importance to protect the security of humans. We also enhance the feature and security of social network by providing content filtering in user wall & chat. Secondary personalized word prediction in chat.