Cooperative Intelligent Systems development is growing and the data they produce is increasing exponentially. This amount of data will soon be large enough to fall in big data paradigm. We propose to exploit these data as data stream. We aim to detect anomaly on the road using concept drift detection methods over data stream. To this purpose we create a simulator to generate data used for our study. We use two scenarios, a stopped car and a growing pothole, in our simulation. We focus our study on the vehicle hezading data on which we apply Page- Hinkley and ADWIN methods. We have shown that the use of C-ITS data could improve the automatic detection of incidents