Research Article

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

Table 2

Comparison of different approaches using NGSIM I-80 data.

VariableRaw dataKalman filterSimple moving averageProposed method

JerkStd33.407.982.953.41
Mean0.000.000.000.00
Max1640916653.67
Min−1846−64−59−54.33

Jerk values higher than ± 15 (%)Std11.222.880.970.50
Mean22.830.300.290.16
Max69.2322.1611.354.17
Min4.700.000.000.00

1-s window with more than one sign inversion of jerk (%)Std10.3112.6414.164.95
Mean75.2321.2256.1013.54
Max10082.0581.8280.42
Min42.57106.537.40