Passenger flow prediction is the key to operation efficiency and safety of urban rail transit (URT). This paper combines the deep learning (DL) theory and support vector machine (SVM) into the DL-SVM ...

It is shown that data flow graphs can be executed on this to exploit as much parallelism as a data flow architecture could. It is argued that such a testbed will provide for a selective translation of ...