Research Article
An Imputation Method for Missing Traffic Data Based on FCM Optimized by PSO-SVR
Table 3
A matrix-based missing data representation for “section pattern” and “lane pattern.”
| | At the same lane but the adjacent sections | At the same section but the adjacent lanes | Detector 1 | Detector 2 | ⋯ | Detector | Detector 1 | Detector 2 | ⋯ | Detector |
| 00:00–00:05 | 15 | 10 | ⋯ | 12 | 34 | 47 | ⋯ | ? | 00:05–00:10 | ? | 23 | ⋯ | 21 | ? | 36 | ⋯ | 44 | 00:10–00:15 | 13 | ? | ⋯ | ? | 26 | 32 | ⋯ | 29 | 00:15-00:20 | 13 | 10 | ⋯ | ? | 12 | 32 | ⋯ | ? | ⋯ | ⋯ | ⋯ | ⋯ | ⋯ | ⋯ | ⋯ | ⋯ | ⋯ | 23:40–23:45 | 45 | 43 | ⋯ | 44 | ? | 53 | ⋯ | 46 | 23:45–23:50 | 46 | 39 | ⋯ | 37 | 43 | 52 | ⋯ | 48 | 23:50–23:55 | ? | 29 | ⋯ | 34 | 48 | ? | ⋯ | 56 | 23:55–00:00 | 44 | 33 | ⋯ | 35 | 36 | ? | ⋯ | 54 |
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Note. “?” is the missing values in traffic volume dataset.
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