Research Article

An Acceleration Denoising Method Based on an Adaptive Kalman Filter for Trajectory in Merging Zones

Table 1

Jerk analysis results.

VariableRaw dataKalman filterSimple moving averageProposed method

JerkStd28.5510.531.510.46
Mean0.010.010.000.00
Max4960.721475.16198.4647.14
Min−4927.78−1765.94−197.33−44.92

Jerk values higher than ± 15 (%)Std0.150.390.180.09
Mean0.050.130.060.02
Max2.352.261.051.96
Min0000

1-s window with more than one sign inversion of jerk (%)Std5.697.8121.7314.30
Mean99.6788.2070.8973.61
Max100100100100
Min0000