Analysis of Factors Affecting the Severity of Automated Vehicle Crashes Using XGBoost Model Combining POI Data

Table 2

Variables description and distribution.

Variable	Total (N = 94)	Uninjured (N = 76)	Injured (N = 18)
	Distribution (%)	Distribution (%)	Distribution (%)
Type of collision
Head-on = 0	8.60	10.67	0.00
Side swipe = 1	15.05	16.00	11.11
Rear end = 2	64.52	62.67	72.22
Broadside = 3	11.83	10.67	16.67
AV state (the AV movement preceding the collision)
Stopped = 0	38.71	38.67	38.89
Moving = 1	61.29	61.33	61.11
Other vehicle state (other vehicle movement preceding the collision)
Stopped = 0	1.08	1.33	0.00%
Moving = 1	98.92	98.67	100.00
Vehicle damage (describe vehicle damage)
None = 0	7.52	9.33	0.00
Minor = 1	64.52	74.67	22.22
Mod = 2	26.89	14.675	77.78
Major = 3	1.08	1.33	0.00
Driving mode (driving mode preceding the collision)
Conventional = 0	52.69	54.67	44.44
Autonomous = 1	47.31	45.33	55.56
Accident location
Intersection = 1	47.31	45.33	55.56
Street = 2	35.48	44.00	0.00
Highway = 3	13.98	6.67	44.44
Parking lot = 4	3.23	4.00	0.00
Weather (weather conditions at the time of the accident)
Clear = 1	77.42	90.67	22.22
Cloudy = 2	19.35	5.33	77.78
Raining = 3	2.15	2.67	0.00
Fog/visibility = 4	1.08	1.33	0.00
Lighting (lighting conditions at the time of the accident)
Daylight = 1	64.52	69.33	44.44
Dusk-dawn = 2	2.15	1.33	5.56
Dark-street lights = 3	33.33	29.33	50.00
POI_D (the POI diversity evaluation index)
= 0	55.91	50.67	55.56
= 1	38.71	33.33	33.33
= 2	5.38	16.00	11.11