SemTra: A semi-supervised approach to traffic flow labeling with minimal human effort.

•Present a multi-view approach that creates multiple representations for traffic data.•Incorporate different distance metrics in clustering to reveal the underlying structure.•Explore the concept of evidence accumulation clustering.•Propose mapping process based on the internal-structure and the probability function.•Propose local and Global self-training approaches for predicting actual class label.