Abstract: With the advent of deep learning, various deep neural network architectures have been proposed to capture the complex spatio-temporal dependencies in traffic data. This paper introduces a ...

Abstract: In the era of Big Data, data are being collected, stored, and analyzed at an unprecedented rate. Owing to the limitations of the quantity, diversity, and complexity of data, traditional data ...