A data mining framework to analyze road accident data

Journal of Big Data

Table 1 Road accident attributes

S. no.	Attribute	Code	Value	Total	Criticality
S. no.	Attribute	Code	Value	Total	Critical	Non-critical
1	NOV: number of injury	1	1 injury	5932	689	5243
		2	2 injuries	2598	451	2147
		+2	>2 injuries	3044	114	2930
2	AGE: age	CHL	< 18 years	988	268	720
		YNG	18–30 years	5954	654	5300
		ADL	30–60 years	3045	165	2880
		SNR	>60 years	1587	167	1420
3	GND: gender	M	Male	8625	952	7673
3	GND: gender	F	Female	2949	302	2647
4	TOD: time of day	T1	[0–4]	678	45	633
		T2	[4–8]	1032	164	868
		T3	[8–12]	1358	258	1100
		T4	[12–16]	1972	126	1846
		T5	[16–20]	3768	245	3523
		T6	[20–24]	2766	416	2350
5	MON: month	WNT	Winter	2822	325	2497
		SPR	Spring	2787	312	2475
		SMR	Summer	3144	368	2776
		ATM	Autumn	2821	249	2572
6	LOR: lighting on road	DLT	Day light	3850	268	3582
		DUS	Dusk	3203	429	2774
		RLT	Road light	1665	126	1539
		NLT	No light	2856	431	2425
7	ROF: roadway feature	INT	Intersection	3526	374	3152
		SLP	Slope	1157	212	945
		CUR	Curve	2827	266	2561
		UNK	Unknown	4064	402	3662
8	RTY: road type	HIW	Highway	6032	785	5247
8	RTY: road type	NHW	Non-highway	5542	469	5073
9	ASV: accident severity	CR	Critical	1254	1254	0
9	ASV: accident severity	NC	Non-critical	10320	0	10320
10	ARA: area around	AGL	Agriculture land	1984	289	1695
		MAR	Market	2069	145	1924
		COL	Colony	3250	119	3131
		FOR	Forest	1165	267	898
		HIL	Hill area	2354	345	2009
		HOS	Hospital	752	89	663
11	TOA: type of accident	TWH	Two wheeler	3688	194	3494
		THW	Three wheeler	255	55	200
		MVH	Multi-vehicular	855	64	791
		VFH	Vehicle fall height	2132	398	1734
		VRO	Vehicle roll over	1356	129	1227
		PH	Pedestrian hit	1580	265	1315
		NM	Non-motorized	254	12	242
		MC	Multi-casualty	364	16	348
		FO	Fixed object/divider hit	987	121	866
		OT	Others	103	0	103