A Survey of Real-Time Social-Based Traffic Detection

Online traffic news web sites do not always announce traffic events in areas in real-time. There is a capability to employ text mining and machine learning techniques on the Twitter stream to perform event detection, to develop a real-time traffic detection system. In this present survey paper, we deliberate the current state-of-art techniques in detecting traffic events in real-time focusing on seven papers [1], [2], [3], [4], [5], [6], [7]. Lastly, applying effective text mining techniques and the SVM classifier in paper [2] gave the best results (i.e., 95.75% accuracy and 95.8% F1-score).