Multi-view feature engineering for day-to-day joint clustering of multiple traffic datasets

A novel framework (MCMD) to classify days based on traffic state similarities measured across multiple traffic datasets. MCMD outputs scale-invariant and scale-variant similarity-based classification labels and outliers. A novel multi-view feature engineering algorithm is proposed for joint dimensionality reduction of traffic datasets. Missing data is effectively handled by leveraging shared information across datasets.