Research Article
An Improved Deep Learning Model for Traffic Crash Prediction
Table 6
Results of roadway segment crash count prediction.
| | Major injury | Minor injury | No injury | Total |
| Observation mean | 0.096 | 0.556 | 1.306 | 1.986 | Proposed model | | | | | Estimated mean | 0.110 | 0.573 | 1.335 | 2.019 | MAE | 0.030 | 0.080 | 0.071 | 0.150 | RMSD (%) | 17.298 | 29.961 | 27.206 | 43.652 | Deep learning model without the regression layer | | | | | Estimated mean | 0.101 | 0.556 | 1.332 | 1.989 | MAE | 0.043 | 0.202 | 0.405 | 0.520 | RMSD (%) | 20.620 | 51.741 | 65.086 | 82.862 | SVM model | | | | | Estimated mean | 0.101 | 0.513 | 1.329 | 1.943 | MAE | 0.055 | 0.257 | 0.471 | 0.660 | RMSD (%) | 26.022 | 61.350 | 72.416 | 96.636 |
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