Estimation of Vehicle Dynamic Response from Track Irregularity Using Deep Learning Techniques

Table 2

Performance on different lines.

Line	Model	RMSE	MAE	ρ	TIC
Line 2	CNN-LSTM	1074.7724	746.7088	0.7920	0.1083
	CA-CNN-MUSE	916.3021	630.4018	0.8570	0.1010
Line 3	CNN-LSTM	1711.3334	1240.1423	0.7147	0.1609
	CA-CNN-MUSE	1486.9768	1035.1907	0.8079	0.1585