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.
| Variable | Raw data | Kalman filter | Simple moving average | Proposed method |
| Jerk | Std | 33.40 | 7.98 | 2.95 | 3.41 | Mean | 0.00 | 0.00 | 0.00 | 0.00 | Max | 1640 | 91 | 66 | 53.67 | Min | −1846 | −64 | −59 | −54.33 |
| Jerk values higher than ± 15 (%) | Std | 11.22 | 2.88 | 0.97 | 0.50 | Mean | 22.83 | 0.30 | 0.29 | 0.16 | Max | 69.23 | 22.16 | 11.35 | 4.17 | Min | 4.70 | 0.00 | 0.00 | 0.00 |
| 1-s window with more than one sign inversion of jerk (%) | Std | 10.31 | 12.64 | 14.16 | 4.95 | Mean | 75.23 | 21.22 | 56.10 | 13.54 | Max | 100 | 82.05 | 81.82 | 80.42 | Min | 42.57 | 10 | 6.53 | 7.40 |
|
|