Abstract: Traffic congestion is the one the major issue in the present world. This system aims in developing a real time traffic prediction and detection through social conversations by using the technology of data mining. The aim of the system is to predict appropriate class output to each social conversation, whether it is traffic or non-traffic related content. This system employs m-KNN (Modified k Nearest Neighbour algorithm) as a classification model and PCA (Principle Component Analysis) is used for Feature Extraction. This system gives information about the current road status and helps the user to take a better route in their journey.
Keywords: PCA, m-KNN
| DOI: 10.17148/IJARCCE.2020.9304