Research Article
Automated Generation of Traffic Incident Response Plan Based on Case-Based Reasoning and Bayesian Theory
Table 3
Performance of Case-Based Reasoning and Bayesian Theory.
| No. | Current Case | Case retrieval database | Number of retrieved cases () | Precision () | Recall () | Indicator () |
| 1 | Case 1 | Case 2~Case 23 | 4 | 68.3% | 18.2% | 70.6% | 2 | Case 2 | Case 1 and Case 3~23 | 8 | 72.4% | 36.4% | 70.5% | 3 | Case 3 | Case 1~2 and Case 4~23 | 4 | 67.2% | 18.2% | 69.7% | 4 | Case 4 | Case 1~3 and Case 5~23 | 11 | 54.7% | 50.0% | 53.7% | 5 | Case 5 | Case 1~4 and Case 6~23 | 7 | 66.5% | 31.8% | 66.8% | 6 | Case 6 | Case 1~5 and Case 7~23 | 11 | 52.3% | 50.0% | 51.8% | 7 | Cas 7 | Case 1~6 and Case 8~23 | 12 | 54.6% | 54.5% | 52.5% | 8 | Case 8 | Case 1~7 and Case 9~23 | 6 | 68.7% | 27.3% | 69.5% | 9 | Case 9 | Case 1~8 and Case 10~23 | 8 | 64.5% | 36.4% | 64.3% | 10 | Case 10 | Case 1~9 and Case 11~23 | 3 | 76.4% | 13.6% | 78.2% | 11 | Case 11 | Case 1~10 and Case 12~23 | 8 | 72.3% | 36.4% | 70.4% | 12 | Case 12 | Case 1~11 and Case 13~23 | 7 | 68.7% | 31.8% | 68.6% | 13 | Case 13 | Case 1~12 and Case 14~23 | 9 | 70.1% | 40.9% | 67.6% | 14 | Case 14 | Case 1~13 and Case 15~23 | 3 | 73.8% | 13.6% | 76.0% | 15 | Case 15 | Case 1~14 and Case 16~23 | 2 | 72.1% | 9.1% | 75.2% | 16 | Case 16 | Case 1~15 and Case 17~23 | 3 | 70.4% | 13.6% | 73.1% | 17 | Case 17 | Case 1~16 and Case 18~23 | 7 | 69.5% | 31.8% | 69.2% | 18 | Case 18 | Case 1~17 and Case 19~23 | 2 | 74.6% | 9.1% | 77.4% | 19 | Case 19 | Case 1~18 and Case 20~23 | 4 | 68.4% | 18.2% | 70.7% | 20 | Case 20 | Case 1~19 and Case 21~23 | 5 | 75.5% | 22.7% | 75.8% | 21 | Case 21 | Case 1~20 and Case 22~23 | 3 | 72.4% | 13.6% | 74.8% | 22 | Case 22 | Case 1~21 and Case 23 | 5 | 73.9% | 22.7% | 74.6% | 23 | Case 23 | Case 1~Case 22 | 4 | 72.3% | 18.2% | 74.0% |
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