Research Article
Predicting Work Zone Collision Probabilities via Clustering: Application in Optimal Deployment of Highway Response Teams
Table 4
List of tested scenarios.
| Scenario | Description |
| 0 | Base scenario, all features equally important |
| 1 | Importance of seasons increased | 2 | Importance of road type increased | 3 | Importance of weekday/weekend increased | 4 | Importance of number of lanes increased | 5 | Importance of AADT increased | 6 | Importance of peak/off-peak increased | 7 | Importance of day/night increased |
| 8 | Importance of AADT decreased | 9 | AADT data removed |
| 10 | Importance of peak/off-peak and day/night increased | 11 | Importance of peak/off-peak and day/night increased, AADT data removed | 12 | Uses only peak/off-peak and day/night data |
| 13 | Importance of number of lanes, peak/off-peak and day/night increased | 14 | Uses only number of lanes, peak/off-peak and day/night data |
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