To improve the quality of track maintenance work, it is a desire to estimate vehicle dynamic behavior from geometry irregularities. This paper proposes deep learning model predict responses (e.g., vertical wheel-rail forces, wheel unloading rate, and car body acceleration) using techniques. In proposed CA-CNN-MUSE model, convolutional neural networks (CNNs) are used learn features irregularitie...