Neural network and clustering techniques for tractor accidents on highways in the south-east of Brazil

Macedo, Deivielison Ximenes Siqueira; Santos, Viviane Castro dos; Monteiro, Leonardo de Almeida; Dutra, Jefferson Auteliano Carvalho; Menezes, José Wally Mendonça

doi:10.5935/1806-6690.20210058

Deivielison Ximenes Siqueira Macedo ^**Author for correspondence

Departamento de Engenharia Agrícola, Centro de Ciências Agrárias (CCA), Universidade Federal do Ceará (UFC), Programa de Pós Graduação em Engenharia Agrícola (DENA), Fortaleza-CE, Brasil; Emails: derilsiqueira@hotmail.com; viviane.castro@ufc.br; aiveca@ufc.br; jeffersocarvalho@hotmail.com

https://orcid.org/0000-0003-1860-9212

Viviane Castro dos Santos

Departamento de Engenharia Agrícola, Centro de Ciências Agrárias (CCA), Universidade Federal do Ceará (UFC), Programa de Pós Graduação em Engenharia Agrícola (DENA), Fortaleza-CE, Brasil; Emails: derilsiqueira@hotmail.com; viviane.castro@ufc.br; aiveca@ufc.br; jeffersocarvalho@hotmail.com

https://orcid.org/0000-0002-3688-8043

Leonardo de Almeida Monteiro

Departamento de Engenharia Agrícola, Centro de Ciências Agrárias (CCA), Universidade Federal do Ceará (UFC), Programa de Pós Graduação em Engenharia Agrícola (DENA), Fortaleza-CE, Brasil; Emails: derilsiqueira@hotmail.com; viviane.castro@ufc.br; aiveca@ufc.br; jeffersocarvalho@hotmail.com

https://orcid.org/0000-0003-3703-8072

Jefferson Auteliano Carvalho Dutra

Departamento de Engenharia Agrícola, Centro de Ciências Agrárias (CCA), Universidade Federal do Ceará (UFC), Programa de Pós Graduação em Engenharia Agrícola (DENA), Fortaleza-CE, Brasil; Emails: derilsiqueira@hotmail.com; viviane.castro@ufc.br; aiveca@ufc.br; jeffersocarvalho@hotmail.com

https://orcid.org/0000-0001-5314-9077

José Wally Mendonça Menezes

Departamento de Telemática, Programa de Pós Graduação em Engenharia em Telecomunicações (PPGET), Instituto Federal de Educação, Ciência e Tecnologia do Ceará (IFCE), Fortaleza-CE, Brasil. Email: wally@ifce.edu.br

https://orcid.org/0000-0003-4819-2630

1
Parte da Tese do primeiro autor, apresentado ao Programa de Pós-Graduação em Engenharia Agrícola, Centro de Ciências Agrárias (CCA), Universidade Federal do Ceará (UFC)

Editor-in-Chief: Prof. Alek Sandro Dutra - alekdutra@ufc.br

*Author for correspondence

	TYPE
CLASS	Striking the victim	Potential damage	Spilled load	Fire	Fall	Leaving the road	Overturned vehicle
CODE	1	2	3	4	5	6	7
CLASS	Collision with bicycle	Collision with fixed object	Collision with movable object	Transversal collision	Rear-end collision	Head-on collision	Side collision
CODE	8	9	10	11	12	13	14
	CAUSE
CLASS	Animals on the road	Defect in the road	Mechanical defect of the vehicle	Disobeying signs	Not maintaining a safe distance	Wrongful overtaking
CODE	1	2	3	4	5	6
CLASS	Undue speed	Lack of attention	Sleeping	Alcohol consumption	Other
CODE	7	8	9	10	11
	TIME OF DAY
CLASS	Small hours (00:00 to 02:59)	Early hours (03:00 to 05:59)	Start of day (06:00 to 08:59)	End of morning (09:00 to 11:59)
CODE	1	2	3	4
CLASS	Start of afternoon (12:00 to 14:59)	End of afternoon (15: to 17:59)	Start of evening (18:00 to 20:59)	End of night (21:00 to 23:59)
CODE	5	6	7	8
	WEATHER CONDITIONS
CLASS	Sunny/Clear	Fog/Mist	Wind/Rain	Cloudy	Hail
CODE	1	2	3	4	5
	CLINICAL CONDITION OF THE VICTIMS
CLASS	No casualties	Casualties	Bad casualties	One fatality and casualties	Fatalities
CODE	1	2	3	4	5
	ROAD LAYOUT
CLASS	Straight	Curved	Intersection
CODE	1	2	3
	STATE
CLASS	Minas Gerais	São Paulo	Rio de Janeiro	Espírito Santo
CODE	1	2	3	4

INDICATOR		GROUP
INDICATOR		1	3	4	6	8	11	17
Number of accidents		42	13	13	22	25	15	14
State	Class	Espírito Santo	Espírito Santo and Rio de Janeiro	Espírito Santo	Espírito Santo and Rio de Janeiro	Rio de Janeiro	Rio de Janeiro	Rio de Janeiro
State	Freq. (%)	57.14	76.92	46.15	100.00	52.00	46.67	57.14
Time of day	Class	Start and End of Afternoon	Early Hours and Start of Day	End of Morning and Start of Afternoon	End of Morning and Start of Afternoon	Start of Day and End of Morning	End of Afternoon	End of Afternoon and Start of Evening
Time of day	Freq. (%)	54.76	61.54	53.84	59.09	68.00	53.33	85.71
Type	Class	Rear-end and Side Collision	Rear-end Collison	Overturning and Leaving the Road	Side Collision	Rear-end and Side Collision	Rear-end and Side Collision	Rear-end and Side Collision
Type	Freq. (%)	71.42	46.15	61.15	50.00	60.00	86.66	64.28
Cause	Class	Lack of Attention	Other	Mechanical Defect of the Vehicle	Lack of Attention	Other	Other	Other
Cause	Freq. (%)	66.67	46.15	76.92	50.00	80.00	100.00	64.29
Conditions	Class	Sunny/ Clear	Cloudy	Sunny/ Clear	Sunny/ Clear	Sunny/ Clear	Sunny/ Clear	Cloudy
Conditions	Freq. (%)	100	69.23	100	100	100	100	57.14
Casualties	Class	No Casualties	Casualties	No Casualties	No Casualties	No Casualties	No Casualties	No Casualties
Casualties	Freq. (%)	78.57	69.23	61.54	72.73	68.00	60.00	71.43
Road	Class	Straight	Straight	Curved	Curved	Straight	Straight	Straight
Road	Freq. (%)	100	100	76.92	54.55	96	86.67	100

INDICATOR		GROUP
INDICATOR		2	5	7	9	10	12	13	14	15	16	18
Number of accidents		24	13	58	21	22	13	53	37	45	31	35
State	Class	Minas Gerais	Minas Gerais	Minas Gerais	Minas Gerais	Minas Gerais	Minas Gerais	Minas Gerais	Minas Gerais	Minas Gerais	Minas Gerais	Minas Gerais
State	Freq. (%)	83.33	61.54	87.93	52.38	81.82	76.92	56.60	97.30	91.11	64.52	82.86
Time of day	Class	End of evening and start of night	End of morning Start of afternoon	End of afternoon and start of evening	End of morning Start of afternoon	End of morning Start of afternoon	Start and end of morning	End of morning and end of afternoon	End of morning Start of afternoon	Start and end of afternoon	Start and end of night	Start and end of morning
Time of day	Freq. (%)	54.16	61.53	70.68	61.90	59.09	69.23	62.26	70.27	60.00	58.06	77.14
Type	Class	Rear-end	Rear-end	Rear-end	Side and transversal	With fixed object	Side	Potential damage	Side and rear-end	Side	Rear-end and side	Rear-end and transversal
Type	Freq. (%)	45.83	46.15	37.93	47.61	31.82	46.15	66.04	64.86	42.22	41.93	62.86
Cause	Class	Other	Mech. defect	Lack of attention	Lack of attention	Mech. defect	Lack of attention	Other	Other	Lack of attention	Other	Lack of attention
Cause	Freq. (%)	58.33	46.15	68.97	52.38	63.64	46.15	67.92	97.30	57.78	61.29	82.86
Conditions	Class	Sunny/ Clear	Cloudy	Sunny/ Clear	Cloudy	Sunny/ Clear	Cloudy	Sunny/ Clear	Sunny/ Clear	Sunny/ Clear	Cloudy	Sunny/ Clear
Conditions	Freq. (%)	83.33	76.92	98.28	61.90	100	84.62	100	100	97.78	48.39	94.29
Casualties	Class	Fatalities	No casualties	No casualties	No casualties	No casualties	No casualties	No casualties	No casualties	No casualties	No casualties	No casualties
Casualties	Freq. (%)	62.50	53.85	56.90	76.19	54.55	84.62	66.04	70.27	68.89	58.06	57.14
Road	Class	Straight	Straight	Straight	Curved	Straight	Straight	Straight	Straight	Curved	Curved	Straight
Road	Freq. (%)	75	100	98.28	61.90	95.45	61.54	84.91	100	86.67	83.87	100

[1] 1
Parte da Tese do primeiro autor, apresentado ao Programa de Pós-Graduação em Engenharia Agrícola, Centro de Ciências Agrárias (CCA), Universidade Federal do Ceará (UFC)

Brasil

Brasil

Neural network and clustering techniques for tractor accidents on highways in the south-east of Brazil¹ 1 Parte da Tese do primeiro autor, apresentado ao Programa de Pós-Graduação em Engenharia Agrícola, Centro de Ciências Agrárias (CCA), Universidade Federal do Ceará (UFC)

Rede neural e técnicas de agrupamento em acidentes com tratores em rodovias na Região Sudeste

ABSTRACT

Brasil

Brasil

Neural network and clustering techniques for tractor accidents on highways in the south-east of Brazil1 1 Parte da Tese do primeiro autor, apresentado ao Programa de Pós-Graduação em Engenharia Agrícola, Centro de Ciências Agrárias (CCA), Universidade Federal do Ceará (UFC)

Rede neural e técnicas de agrupamento em acidentes com tratores em rodovias na Região Sudeste

ABSTRACT

Neural network and clustering techniques for tractor accidents on highways in the south-east of Brazil¹ 1 Parte da Tese do primeiro autor, apresentado ao Programa de Pós-Graduação em Engenharia Agrícola, Centro de Ciências Agrárias (CCA), Universidade Federal do Ceará (UFC)