Research Article
Estimation of Acceleration Amplitude of Vehicle by Back Propagation Neural Networks
Table 1
Parameters depending on road conditions [
8].
| | Road | | | (m−1) | (m−1) | (m−1) | (m) |
| | As. (R1) | 0.85 | 0.15 | 0.2 | 0.05 | 0.60 | 0.0080–0.0126 | | 0 | 1 | | 0.22 | 0.44 | 0.12 | | ESBP (R2) | 1 | 0 | 0.45 | — | — | 0.0135–0.0225 | | WSBP (R3) | 0.85 | 0 | 0.45 | — | — | 0.0250–0.0380 | | BP (R4) | 0 | 1 | — | 0.32 | 0.64 | 0.017 | | CR (R5) | 0 | 1 | — | 0.47 | 0.94 | 0.019 | | 0 | 1 | — | 0.11 | 0.146 | 0.067–0.227 | | CO (R6) | 1 | 0 | 0.15 | — | — | 0.005–0.0124 |
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Co.: concrete; As.: asphalt; ESBP: even stone block paved; WSBP: waved stone block paved; BP: boulder paved; CR: country road.
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