Journal of Advanced Transportation / 2020 / Article / Tab 2

Research Article

Forecasting Urban Rail Transit Vehicle Interior Noise and Its Applications in Railway Alignment Design

Table 2

Features involved in the prediction model.

Collected signalUsed signalSelected features

1Audio signalSPL(A)RMS
2Horizontal accelerationHorizontal accelerationMean value
3Vertical accelerationVertical accelerationRMS
4Longitudinal accelerationLongitudinal accelerationVariance
5Pitch angular velocityPitch angular velocityStandard deviation
6Yaw angular velocityYaw angular velocityPeak value
7Roll angular velocityRoll angular velocitySkewness
8Pitch angular accelerationKurtosis
9Yaw angular accelerationShape factor
10Roll angular accelerationCrest factor
11Operating velocity of trainsClearance factor

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