Driver Route Planning Method Based on Accident Risk Cost Prediction

Table 2

Descriptive statistics.

Number	Index	Statistical value (proportion)
1	A_D15_20	1 = 3113 (11.90%), 2 = 23105 (88.10%)
2	A_D65PLS	1 = 5673 (21.60%), 2 = 20545 (78.40%)
3	A_DIST	1 = 2169 (8.30%), 2 = 24049 (91.70%)
4	A_DROWSY	1 = 538 (2.10%), 2 = 25680 (97.90%)
5	A_RELRD	1 = 16236 (61.90%), 2 = 381 (1.50%), 3 = 987 (3.80%), 4 = 8614 (32.80%)
6	A_SPCRA	1 = 6720 (25.60%), 2 = 19498 (74.40%)
7	DRYNK_DR	0 = 19424 (74.10%), 1 = 6592 (25.10%), 2 = 201 (0.80%), 4 = 1 (0.0004%)
8	REST_USE	0 = 14934 (57.00%), 1 = 11284 (43.00%)
9	Sex	1 = 17064 (65.10%), 2 = 9154 (34.90%)
10	A_LIC_S	0 = 8349 (31.80%), 1 = 17869 (68.20%)
11	PREV_ACC	0 = 19989 (76.20%), 1 = 4538 (17.30%), 2 = 1197 (4.60%), 3 = 345 (1.30%), 4 = 104 (0.40%), 5 = 33 (0.13%), 6 = 9 (0.03%), 7 = 2 (0.0008%), 8 = 1 (0.0004%)
12	A_LT	1 = 3665 (14.00%), 2 = 22553 (86.00%)
13	HAZ_INV	1 = 26116 (99.60%), 2 = 102 (0.40%)
14	A_RU	1 = 12113 (46.20%), 2 = 14105 (53.80%)
15	A_INTSEC	1 = 6260 (23.90%), 2 = 19958 (76.10%)
16	VALIGN	1 = 20020 (76.40%), 2 = 2088 (8.00%), 3 = 3628 (13.80%), 4 = 482 (1.80%)
17	VSURCOND	1 = 22060 (84.10%), 2 = 3442 (13.10%), 3 = 95 (0.36%), 4 = 239 (0.91%), 5 = 55 (0.21%), 6 = 58 (0.22%), 7 = 269 (1.00%)
18	VTRAFCON	0 = 20041 (76.40%), 1 = 6177 (23.60%)
19	A_DOW	1 = 15755 (60.10%), 2 = 10463 (39.90%)
20	A_TOD	1 = 12845 (49.00%), 2 = 13373 (51.00%)
21	WEATHER	1 = 19153 (73.10%), 2 = 4254 (16.20%), 3 = 2125 (8.10%), 4 = 288 (1.10%), 5 = 33 (0.13%), 6 = 261 (1.00%), 7 = 33 (0.13%), 8 = 44 (0.17%), 9 = 6 (0.02%), 10 = 21 (0.08%)
22	LGT_CON	1 = 12655 (48.30%), 2 = 4867 (18.60%), 3 = 553 (2.10%), 4 = 598 (2.30%), 5 = 172 (0.66%), 6 = 7373 (28.10%)