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Table 11 Sample incident datasets with breakdown of attributes recorded and recommended
From: Modelling delay saving through pro-active incident management techniques
Data set | 1 | 2 | 3 | 4 | 5 | 6 | Coverage (1–5) |
Number of months | 7 | 12 | 10 | 2 | 15 | 29 | 27 |
Number of incidents | 1018 | 942 | 5277 | 128 | 8322 | 103,359 | 15,687 |
Of which accidents | 621 | 238 | 1059 | 112 | 1355 | 21,374 | 3385 |
Attributes desired | Attributes recorded | Sets 1–5 only | |||||
Road identifier | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 100% |
Date | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 100% |
Start time | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 100% |
Response time | ⊠ | ⊠ | ✓ | ⊠ | ⊠ | ⊠ | 20% |
Cause | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 100% |
Duration | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 100% |
Severity | ⊠ | ✓ | ✓ | ✓ | ✓ | ⊠ | 60% |
Number of lanes available | ⊠ | ✓ | ⊠ | ⊠ | ⊠ | ⊠ | 20% |
Number of lanes closed | ✓ | ⊠ | ⊠ | ✓ | ⊠ | ⊠ | 40% |
Heavy vehicle involved | ✓ | ✓ | ✓ | ✓ | ⊠ | ⊠ | 80% |
Number of vehicles involved | ⊠ | ✓ | ⊠ | ✓ | ⊠ | ⊠ | 40% |
Number of persons/injuries | ⊠ | ✓ | ⊠ | ✓ | ⊠ | ⊠ | 40% |
Delay/Effect on traffic | ⊠ | ✓ | ⊠ | ✓ | ⊠ | ✓ | 40% |
Numerical delay estimate | ⊠ | ⊠ | ⊠ | ⊠ | ⊠ | ✓ | 0% |
Directions affected | ✓ | ✓ | ⊠ | ✓ | ⊠ | ⊠ | 60% |
Information about diversions | ⊠ | ✓ | ⊠ | ✓ | ⊠ | ⊠ | 40% |
Keywords or Text | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | 100% |