Research Article
Application of CNN-LSTM Model for Vehicle Acceleration Prediction Using Car-following Behavior Data
Table 1
Segmentation of variables.
| Variable | Variable state | Threshold |
| Relative distance (m) | Close distance (CD) | (5, 26.34] | Normal distance (ND) | (26.34, 57.76] | Long distance (LD) | >57.76 |
| Relative speed (m/s) | Rapidly falling behind (RFB) | >1.0 | Falling behind (FB) | (0.2, 1.0] | Keeping (KE) | (−0.2, 0.2] | Closing in (CI) | (−1.3, −0.2] | Rapidly closing in (RCI) | ≤−1.3 |
| Acceleration (m/s2) | Aggressive deceleration (AD) | ≤−0.22 | Gentle deceleration (GD) | (−0.22, −0.07] | No acceleration (NA) | (−0.07, 0.05] | Gentle acceleration (GA) | (0.05, 0.19] | Aggressive acceleration (AA) | >0.19 |
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