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 (𝑛=0.7)	Precision (𝑃)	Recall (𝑅)	Indicator (𝐹)
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%