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Estimación a corto plazo de siniestros de tránsito= en Ecuador causado por exceso de los límites de velocidad mediante modelo matemático temporal

 

 


Short-term estimation of traffic accidents in Ecuador risks due to exceeding speed limits by means o= f a temporal mathematical model

 

Guido Javier Mazón Fierro.[1]= , Carlos Xavier Oleas Lara. [2]=
& Pamela Alexandra Buńay. [3]=

 

 

Recibido: 24-05-2020 /Aceptado: 26-06-2020 / Publicado: 03-07-2020=

 

                                            

Abstract.                             DOI: https://doi.org/10.33262/concienciadigital.v3i3.1327

 

Around 1.3 million people di= e on the different roads of the world, one of the main reasons for death is traffic accidents. With the additive temporal mathematical model, the estimation of future data was found, the variable is the number of traffic accidents in Ecuador due to driving vehicles exceeding the maximum speed limits, accordi= ng to the model, this calculation was performed in the short term , in a time interval of 2 years, 2020 and 2021. The historical statistical database of = the National Traffic Agency of Ecuador (ANT) was accessed from 2010 to 2019, on= ce these data were classified according to the claims caused by speeding by ye= ar and month, we proceeded to calculate one of the components of the mathemati= cal model called seasonality 〖(S〗 _t) a value for each month of the year, then the second component of the model was established which is the trend (T) was used the linear regres= sion procedure and it was obtained that the value of T =3D 232.8 + 0.98 * t wher= e the value of (t) is the time interval that we want to find the estimate, the la= st component that intervenes in the model is the noise value (R) the way to fi= nd it was to clear the noise 〖R =3D V_r-T-S_t from the additive temporal model like the other components of real value (V_r) trend (T) and seasonality 〖(S〗 _t) are already known, this= series of irregular fluctuations was found, finally the model for the estimation w= as: Estimated value =3D Base value + Trend + Seasonality. It can be predicted t= hat for the year 2021 in the month of December it will decrease to 413 traffic accidents and for the year 2020 401 traffic accidents are expected, a value affected by the global health crisis since March 2020.

 

Key= words: claims, traffic, speed, model, mathematical, temporal, prediction.

Resumen.

Alr= ededor de 1,3 millones de personas mueren en las diferentes carreteras del mundo, = uno de los principales motivos de muerte son los siniestros de tránsito. Con el modelo matemático temporal aditivo se encontró la estimación de datos futur= os, la variable es la cantidad de siniestros de tránsito en Ecuador a causa de conducir vehículos superando los límites máximos de velocidad, de acuerdo c= on el modelo, este cálculo se realizó a corto plazo, en un intervalo de tiempo= de 2 ańos, 2020 y 2021. Se accedió a la base de datos estadísticos históricos = de la Agencia Nacional de Tránsito del Ecuador (ANT) desde el ańo 2010 al 2019, una vez clasificados estos datos de acuerdo a los siniestros ocurridos por exceso de velocidad por ańo y mes se procedió a calcular uno de los compone= ntes del modelo matemático denominada estacionalidad 〖(S〗_t)= un valor para cada mes de ańo, a continuación, se estableció el segundo compon= ente del modelo el cual es la tendencia (T) se utilizó el procedimiento de regre= sión lineal y se obtuvo que el valor de  T=3D232,8+0,98*t  en donde e= l valor de (t) es el intervalo de tiempo que se desea encontrar la estimación, el ultimo componente que interviene en el modelo es el valor del ruido (R) la manera de encontrarlo fue despejar del modelo temporal aditivo el ruido 〖R=3DV〗_r-= T-S_t como las demás componentes de  valor real (V_r) tendencia (T) y estacionalidad 〖(S<= /span>〗_t) ya son conocidos se llegó a encontrar esta ser= ie de fluctuaciones irregulares, finalmente el modelo para la estimación fue: Valor estimado=3DValor base+Tendencia+Estacionalidad. Se puede predecir que para el ańo 2021 en el mes de diciembre disminuirá a = 413 siniestros de tránsito y para el ańo 2020 se prevé 401 siniestros de tránsi= to, valor afectado por la crisis sanitaria a nivel mundial desde marzo del 2020= .

 

Palabras clave: siniestros, tráns= ito, velocidad, modelo, matemático, temporal, predicción.

 

Introducción.

&nb= sp;

La seguridad vial a nivel mundial es un aspecto que todos los gobiernos trabaj= an para fortalecerlo a través de múltiples estrategias, sin embargo, según la Organización Mundial de la Salud (OMS) (2015) alrededor de 1,3 millones de personas mueren en las diferentes carreteras del mundo y entre 20 a 50 mill= ones sufren traumatismos no mortales. Uno de los principales motivos de muerte s= on los siniestros de tránsito y la primera causa para personas de 15 a 29 ańos. (OPS/OMS, 2013).

Existe confusión entre los términos accidente de tránsito y un siniestro de tránsi= to, accidente es un suceso anormal, casual y eventual, no querido, que se prese= nta de forma brusca, violenta e inesperada, ocasionando la muerte o lesiones en= las personas (Lossetti et al.,2005). Un siniestro e= s un suceso anormal, casual y eventual, no querido, que se presenta de forma bru= sca, violenta e inesperada, ocasionando la muerte o lesiones en las personas, pe= ro siempre es evitable. (Constante, 2017). Los conceptos son similares pero la diferencia radica en que el siniestro puede ser evitado. Cuando ocurre un siniestro de transito hay que tener en cuenta la relación de tres factores:= el humano, mecánico y ambiental. (Villa et al., 2019).

El informe sobre seguridad vial a nivel mundial elaborado por la OMS (2015) af= irma que: al aumentar la velocidad media la probabilidad de sufrir un accidente = es mayor al igual que las consecuencias, en especial para los peatones, los ciclistas y los motociclistas. Los países que han logrado reducir el número= de muertes por accidente de tránsito, lo han conseguido dando prioridad a la seguridad en la gestión de la velocidad. El establecimiento de límites nacionales de velocidad es una medida importante para conseguir que se redu= zca la velocidad. Los límites máximos de velocidad en vías urbanas deben ser inferiores o iguales a 50 km/h, en concordancia con las buenas prácticas. Además, las autoridades locales deben tener competencias legislativas para reducir los límites de velocidad, pues ello les permite tener en cuenta las circunstancias locales, como la existencia de escuelas o la concentración d= e un gran número de usuarios de la vía vulnerables.

La Agencia Nacional de Transito del Ecuador (ANT) (2020) ha clasificado las ca= usas de siniestros de tránsito de acuerdo con la Tabla 1.

<= span lang=3DES style=3D'mso-ansi-language:ES;mso-fareast-language:ES'>Tabla 1. Clasificación de Causa posible de siniestro de tránsito en Ecuador

Código

Causa posible de siniestro de tránsito

C1

Caso fortuito o fuerza mayor (explosión de neumático nuevo, derrum= be, inundación, caída de puente, árbol, presencia intempestiva e imprevista de semovientes en la vía, etc.).
C2

Presencia de agentes externos en la vía (agua, aceite, piedra, lastre, escombros, maderos, etc.).

C3

Conducir en estado de somnolencia o malas condiciones físicas (sue= ńo, cansancio y fatiga).
C4

Dańos mecánicos previsibles.

C5

Falla mecánica en los sistemas y/o neumáticos (sistema de frenos, dirección, electrónico o mecánico).

C6

Conduce bajo la influencia de alcohol, sustancias estupefacientes o psicotrópicas= y/o medicamentos.

C7

Peatón transita bajo influencia de alcohol, sustancias estupefacie= ntes o psicotrópicas y/o medicamentos.
C8

Peso y volumen-no cumplir con las normas de seguridad necesarias al transportar cargas.

C9

Conducir vehículo superando los límites máximos de velocidad.=

C10

Condiciones ambientales y/o atmosféricas (niebla, neblina, granizo, lluvia).

C11

No mantener la distancia prudencial con respecto al vehículo que le antecede.
C12

No guardar la distancia lateral mínima de seguridad entre vehículos.

C14

Conducir desatento a las condiciones de tránsito (celular, pantall= as de video, comida, maquillaje o cualquier otro elemento distractor).<= /o:p>
C15

Dejar o recoger pasajeros en lugares no permitidos.

C16

No transitar por las aceras o zonas de seguridad destinadas para el efecto.

C17

Bajarse o subirse de vehículos en movimiento sin tomar las precauciones debidas.<= o:p>

C18

Conducir en sentido contrario a la vía normal de circulación.=

C19

Realizar cambio brusco o indebido de carril.

C20

Mal estacionado- el conductor que detenga o estacione vehículos en sitios o zonas que entrańen peligro, tales como zona de seguridad, curvas, puentes, túneles, pendientes.
C21

Malas condiciones de la vía y/o configuración. (Iluminación y diseńo).

C22

Adelantar o rebasar a otro vehículo en movimiento en zonas o sitios peligrosos tales como: curvas, puentes, túneles, pendientes, etc.

C23

No respetar las seńales reglamentarias de tránsito (pare, ceda el paso, luz = roja del semáforo, etc.).

C24

No respetar las seńales manuales del agente de tránsito.

C25

No ceder el derecho de vía o preferencia de paso a vehículos.

C26

No ceder el derecho de vía o preferencia de paso al peatón.

C27

Peatón que cruza la calzada sin respetar la seńalización existente (semáforos o seńales manuales).

C28

Dispositivo regulador de tránsito en mal estado de funcionamiento (semáforo).

Fuente: Agencia N= acional de Tránsito del Ecuador (2020).

Según Reglamento de = la ley de transporte terrestre tránsito y seguridad vial los límites de velocidad = se encuentran determinados de la siguiente manera:

Tabla 2<= /span>.<= /b> Límites de velocidad para vehículos livianos, motocicletas y similare= s

 

Tipo de vía

Límite máximo

Rango Moderado

Fuera del rango moderado=

Urbana

50=

Perimetral

90

Rectas en carreteras=

100

Curvas en carreteras

60

Fuente: Reglamento general de la ley orgánica de transporte terrestre, tránsito y seguridad vi= al Capítulo VI (2012).

Tabla 3<= /span>. = Límites de velocidad para vehículos de transporte público de pasajero= s

Tipo = de vía

Límit= e máximo =

Rango Moderado

Fuera= del rango moderado

Urbana

40

=

=

Perimetral

70

=

=

Rectas en carreteras

90

=

=

Curvas en carre= teras

50

=

=

Fuente: Reglamento general de la ley orgánica de transporte terrestre, tránsito y seguridad vi= al Capítulo VI (2012).

Tabla 4<= /span>. =  Límites de velocidad para vehículos de transporte de carga

Tipo de vía

Límite máximo =

Rango Moderado

Fuera del rango moderado

Urbana

40

=

=

Perimetral

70

=

=

Rectas en carreteras

70

=

=

Curvas en carre= teras

40

=

=

Fuente: Reglame= nto general de la ley orgánica de transporte terrestre, tránsito y seguridad vial Capít= ulo VI (2012).

La ANT determinó en = el ańo 2019 que la segunda causa probable de siniestros en el Ecuador fue conducir= un vehículo que superó los límites máximos de velocidad permitidos. Se contabilizaron 4006 siniestros, 2950 lesionados y 252 fallecidos. (El UNIVE= RSO, 2020)

Ante la problemática presentada se plantea realizar un estudio para estimar el número de siniest= ros que ocurren por conducir un vehículo a exceso de velocidad aplicando un mod= elo matemático temporal aditivo. Los datos para el estudio se obtendrán del rep= orte nacional de siniestros de tránsito del Ecuador emitidos por ANT, describe en detalle la matriz de siniestros de tránsito por causa probable, desglosa da= tos históricos estadísticos anuales de los siniestros por conducir un vehículo superando los límites máximos de velocidad por ańos en Ecuador.  El objetivo de este trabajo es <= span lang=3DES-TRAD style=3D'mso-ansi-language:ES-TRAD;mso-fareast-language:ES'>= estimar un valor de siniestros de tránsito en Ecuador en el corto plazo para el ańo 2020 y 2021 contribuyendo a la toma de decisiones por parte de las autoridades competentes.

 

Metodologí= a.

 

Marco Teórico Referencial.

Un modelo matemático debe empezar con la identificación de las determinantes y caracterizarlos mediante expresiones matemáticas permitiendo representar la realidad, usando funciones que caractericen su comportamiento o ecuaciones = que simbolizan sus relaciones. (Bocco, 2010)

Serie de tie= mpo son datos estadísticos que se observan, registran y se recopilan por interv= alos de tiempo. La tendencia, estacionalidad y variación regular son variaciones= básicas que dan a la serie un aspecto característico.(Peńa, 201= 0)

Marco Metodológico.

Se usó el modelo matemático temporal aditivo para obtener la proyección de siniestros por conducir un vehículo a exceso de velocidad en el Ecuador, los datos históri= cos se tomaron de ANT. Los datos comprenden un intervalo poblacional de diez ań= os desde 2010 hasta 2019 los cuales son la base para poder hacer la estimación= en el futuro, en el modelo se han considerado dos parámetros: la tendencia y la estacionalidad. (Mazón et al., 2019)

1.&n= bsp;  Se toman los datos de= la serie histórica del reporte nacional de siniestros de tránsito del Ecuador desde el ańo 2010 al 2019, la fuente de extracción de los datos es la Agenc= ia Nacional de Tránsito del Ecuador.

2.&n= bsp;  Se selecciona de la b= ase de datos de la fuente oficial de la información la tabla correspondiente de Siniestros de Tránsito por causa probable, la que se analizara en este caso= es conducir un vehículo superando los límites máximos de velocidad.=

3.&n= bsp;  Una vez separados los datos y organizados por mes y ańo desde 2010 al 2019, se inicia el cálculo = con la obtención de la media de siniestros de tránsito mensual (= , es decir se encontraron 12 valores correspondientes a cada mes del ań= o.

4.&n= bsp;  A continuación, se encuentra la media general =  con los 120 datos que comprend= e la serie histórica desde el ańo 2010 al 2019, este dato es de utilidad para calcular la estacionalidad (= :

=

 

5.&n= bsp;  Como se va a utilizar= un modelo matemático temporal aditivo para realizar la estimación:<= /span>

=

 

=

Se incorpora la varia= ble independiente tiempo <= ![if !msEquation]>= , enero del 2010 es el punto de partida y se le asigna =  de manera progresiva se genera= rán valores hasta =  que le corresponde a diciembre= del 2019. Además, se determina el promedio temporal =

6.&n= bsp;  Se procede al cálculo= de la Tendencia =  para lo cual se emplea el procedimiento matemático de una regresión lineal.

 

=

En donde:<= /span>

=

= =

7.&n= bsp;  Una vez obtenida la t= endencia se puede hallar la componente del ruido para nuestro modelo.

=

8.   Finalmente se puede determinar la estimación de siniestros de tránsito = con el modelo matemático temporal, introduciendo los datos en el periodo que deseamos conocer. El valor base =  es considerado el ultimo calculado de diciembre del ańo 2019.

 

Tendencia: =

Estacionalidad: =

 

=

=

 

 

 

Análisis de los Resultados.

 

Tabla 5.  Siniestros por conducir un vehículo supe= rando los límites máximos de velocidad por ańos en Ecuador

 

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

Enero

233

372

155

217

193

317

408

300

327

281

280.3

-11.8

Febrero

261

256

211

142

215

232

314

336

319

275

256.1

-36.0

Marzo

260

395

201

146

246

196

262

306

296

315

262.3<= /p>

-29.8<= /p>

Abril

275

254

192

188

375

249

289

249

376

307

275.4

-16.7

Mayo

415

238

232

144

283

296

287

377

341

334

294.7<= /p>

2.6

Junio

274

288

130

141

393

252

295

394

336

359

286.2

-5.9

Julio

253

362

89

139

417

288

311

369

393

341

296.2<= /p>

4.1

Agosto

273

280

81

147

350

336

307

328

352

344

279.8

-12.3

Septiembre

385

258

154

164

379

385

310

428

291

367

312.1<= /p>

20.0

Octubre

368

264

154

245

344

411

349

338

396

288

315.7

23.6

Noviembre

339

290

163

309

346

398

266

322

336

381

315

22.9

Diciembre

349

261

149

310

351

417

357

400

305

414

331.3

39.2

 =

 =

 

Fuente: Agencia Nacional de Tránsito del Ecuador (2020)=

Figura 1.<= /span> Siniestro= s de tránsito por conducir un vehículo superando los límites máximos de velocida= d de los ańos 2019 - 2018 – 2017.

<= /span>

Fuente: Agencia Nacional de Tránsito del Ecuador (2020)=

Con los datos de = la Tabla 5 se encuentran la media mensual =  y la estacionalidad =  para cada mes del ańo, el resultado tiene fluctuaciones positivas y negativas el cual es un indicativo de las variaci= ones que presentan los siniestros por cada mes del ańo.

El cálculo de la tendencia se lo realizo con ayuda de los valores históricos desde enero del 2010 hasta diciembre del 20= 19, en este caso se ha colocado únicamente dos tablas con los valores iniciales= y finales para encontrar la tendencia.

 

Tabla 6. Tendencia de siniestros de tránsito por conducir= un vehículo superando los límites máximos de velocidad en el ańo 2010 en Ecuad= or

 

2010<= /b>

Tiempo = t

Enero

1<= /o:p>

233

-59.1

3491.8<= o:p>

-59.5

3540.25=

3515.95=

244.8

233.73<= o:p>

11.06

Febrero<= /span>

2

261

-31.1

966.7

-58.5

3422.25

1818.86

297.0

234.71

62.28

Marzo

3

260

-32.1<= /p>

1029.9=

-57.5<= /p>

3306.25

1845.27

289.8<= /p>

235.70=

54.1

Abril

4

275

-17.1

292.1

-56.5

3192.25

965.68

291.7

236.68

55.02

Mayo

5

415

122.9<= /p>

15106.5

-55.5<= /p>

3080.25

-6821.41

412.4<= /p>

237.66=

174.74=

Junio

6

274

-18.1

327.3

-54.5

2970.25

985.99

279.9

238.64

41.25

Julio

7

253

-39.1<= /p>

1528.2=

-53.5<= /p>

2862.25

2091.40

248.9<= /p>

239.61=

9.27

Agosto

8

273

-19.1

364.5

-52.5

2756.25

1002.31

285.3

240.60

44.69

Septiembre

9

385

92.9

8632.0=

-51.5<= /p>

2652.25

-4784.77

365.0<= /p>

241.58=

123.41=

Octubre<= /span>

10

368

75.9

5762.1

-50.5

2550.25

-3833.37

344.4

242.56

101.83

Noviembre

11

339

46.9

2200.4=

-49.5<= /p>

2450.25

-2321.96

316.1<= /p>

243.54=

72.55<= /p>

Diciembre

12

349

56.9

3238.6

-48.5

2352.25

-2760.05

309.8

244.52

65.27

60,5

 =

 =

 =

 =

 =

 =

 =

 =

 =

            Fuente: Elaboración propia.

Tabla 7. Tendencia de siniestros de tránsito por conduci= r un vehículo superando los límites máximos de velocidad en el ańo 2019 en Ecuad= or

2019<= /b>

Tiempo<= span style=3D'mso-spacerun:yes'> 

Enero

109

281

-11.1<= /p>

123.0<= /p>

48.5

2352.25

-537.95

292.8<= /p>

339.66=

-46.9<= /p>

Febrero

110

275

-17.1

292.1

49.5

2450.25

-846.04

311.0

340.64

-29.6

Marzo

111

315

22.9

524.8<= /p>

50.5

2550.25

1156.87

344.8<= /p>

341.62=

3.2

Abril

112

307

14.9

222.3

51.5

2652.25

767.78

323.7

342.60

-18.9

Mayo

113

334

41.9

1756.3=

52.5

2756.25

2200.19

331.4<= /p>

343.58=

-12.2<= /p>

Junio

114

359

66.9

4476.7

53.5

2862.25

3579.60

364.9

344.56

20.3

Julio

115

341

48.9

2392.0=

54.5

2970.25

2665.50

336.9<= /p>

345.55=

-8.7

Agosto

116

344

51.9

2694.5

55.5

3080.25

2880.91

356.3

346.53

9.8

Septiembre

117

367

74.9

5611.3=

56.5

3192.25

4232.32

347.0<= /p>

347.51=

-0.5

Octubre

118

288

-4.1

16.7

57.5

3306.25

-235.27

264.4

348.49

-84.1

Noviembre

119

381

88.9

7904.7=

58.5

3422.25

5201.14

358.1<= /p>

349.47=

8.6

Diciembre

120

414

121.9

14861.6

59.5

3540.25

7253.55

374.8

350.45

24.35

60,5

 =

 =

 =

 =

143990

141226,5

 =

 =

 =

Fuent= e: Elaboración propia.

Aplicando el método de regresión lineal para= obtener una ecuación de tendencia:

 

=

 

En donde:<= /span>

 

=

=

=

Ahora cálculo de =

a=3D<= /span>X-b*t= =

a=3D292,1-(= 0,98*60,5)=

a=3D232,8=

Llegando a obtener la ecuación lineal de la tendencia:

=

Donde:

 

=

=

 

En la Tabla 7 se presentan valores de ruido o fluctuaciones irregulares en el mod= elo matemático temporal aditivo, este valor al no tener un patrón definido sigu= e un arreglo aleatorio.

=  

Donde:

 

=

=

=

=

 

=

=  

Tabla 8.<= /span> Estimación en Ecuador de siniestros de tránsito= por conducir un vehículo superando los límites máximos de velocidad en los ańos 2020 – 2021

 

Ańo

Mes

Tiempo

Valor base

Valor base + Tendencia  

Estacionalidad <= /span>

Valor estimado

Valor estimado redondeado

Enero

1

350.= 450

351.= 431

-11.= 8

339.= 639

340<= o:p>

Febrero

2

350.450

352.411

-36.0

316.420

316

Marzo

3

350.450

353.392

-29.8

323.600

324=

Abril

4

350.450

354.373

-16.7

337.681

338

Mayo

5

350.450

355.354

2.6=

357.962

358=

Junio

6

350.450

356.335

-5.9

350.443

350

Julio

7

350.450

357.315

4.1=

361.424

361=

Agosto

8

350.450

358.296

-12.3

346.005

346

Septiembre

9

350.450

359.277

20.0

379.285

379=

Octubre

10

350.450

360.258

23.6

383.866

384

Noviembre

11<= /p>

350.450

361.239

22.9

384.147

384=

Diciembre

12

350.450

362.219

39.2

401.428

401

2021<= /span>

Enero

13<= /p>

350.450

363.200

-11.8

351.409

351=

Febrero

14

350.450

364.181

-36.0

328.189

328

Marzo

15<= /p>

350.450

365.162

-29.8

335.370

335=

Abril

16

350.450

366.143

-16.7

349.451

349

Mayo

17<= /p>

350.450

367.123

2.6=

369.732

370=

Junio

18

350.450

368.104

-5.9

362.213

362

Julio

19<= /p>

350.450

369.085

4.1=

373.193

373=

Agosto

20

350.450

370.066

-12.3

357.774

358

Septiembre

21<= /p>

350.450

371.047

20.0

391.055

391=

Octubre

22

350.450

372.027

23.6

395.636

396

Noviembre

23<= /p>

350.450

373.008

22.9

395.917

396=

Diciembre

24<= /p>

350.450

373.989

39.2

413.197

413=

Fuent= e: Elaboración propia.

Finalmente, en la Tabla 6 se presentan valores estimados en Ecuador de los siniestros d= e tránsito por conducir un vehículo superando los límites máximos de velocidad en los = ańos 2020 y 2021. aplicando el modelo matemático temporal aditivo se obtuvo pronósticos con un margen de proyección a corto plazo, dichos valores marcan una tendencia y estacionalidad de los datos históricos tomados diez ańos at= rás. Se observa fluctuaciones mínimas y máximas en los meses del ańo que la estacionalidad así lo indica, se ha considerado redondeo de cifras para el valor estimado puesto que esta variable tiene que ser un número entero de acuerdo con la naturaleza de esta.

Se evidencia que en el último trimestre del ańo existe un número alto de siniestros de tránsito, y dentro de este intervalo de tiempo es el mes de diciembre en donde existe un valor máximo, además en el primer cuatrimestre= del ańo se encuentra un valor valle en siniestros y es el mes de febrero en don= de contamos con un valor mínimo.  

Figura 1. Valores estimados en Ecuador de siniestros de tránsito por conducir un vehículo superando los límites máximos de velocida= d en los ańos 2020 – 2021

 

Fuent= e: Elaboración propia.

Conclusiones:

ˇ&nb= sp;      Mediante el modelo matemático temporal aditivo se = ha estimado un conjunto de valores de dos ańos en siniestros de tránsito en Ecuador por conducir un vehículo a exceso de velocidad. Se puede predecir q= ue para el ańo 2021 en el mes de diciembre disminuirá a 413 siniestros de trán= sito y para el ańo 2020 se prevé 401 siniestros de tránsito, valor afectado por = la crisis sanitaria a nivel mundial desde marzo del 2020.

ˇ&nb= sp;      Para determinar la confiabilidad del modelo se consideró la tendencia, estacionalidad y el ruido, que son los factores de mayor influencia en una serie temporal. Aplicando el procedimiento de regre= sión lineal se estudió la tendencia llegando a determinar mediante los datos históricos que la T=3Dtendecia es igual a T=3D232,8+0,98*t, sabiendo que t=3D serie de tiempo

ˇ&nb= sp;      El análisis que se ha desarrollado con el modelo matemático temporal aditivo pronostica valores de siniestros sin la intervención ni influencia de factores externos es decir sin tomar en consideración campańas a nivel nacional de seguridad vial.

ˇ&nb= sp;      La estimación se considera como aceptada puesto qu= e se ha tomado un modelo matemático temporal aditivo el cual se encuentra valida= do y el procedimiento se lo ha desarrollado siguiendo la metodología adecuada. <= o:p>

Referencias bibliográficas:<= /p>

Agencia Nacional de Tránsito.  (2020). Estadísticas de siniestros de tránsito. Recuperado de https://www.ant.gob.ec/index.php/estadisticas

Bocco, M. (201= 0). Funciones elementales para construir modelos matemáticos. 217.

Constant= e, N. (2017). Accidentes de Tránsito producidos por Imprudencia y Negligencia de Conductores y Peatones en la Avenida Simón Bolívar del DMQ, Ańo 2016 (Tesis pregrado, Universidad Central del Ecuador, Ecuador). Recuperado de: http://www.dspace.uce.edu.ec/bitstream/25000/13253/1/T-UCE-0013-Ab-167.pdf<= o:p>

Ecuador.= (2012). REGLAMENTO A LEY DE TRANSPORTE TERRESTRE TRANSITO Y SEGURIDAD VIAL.  Recuperado de: https://www.obraspublicas.gob.ec/wp-content/uploads/downloads/2015/03/Decre= to-Ejecutivo-No.-1196-de-11-06-2012-REGLAMENTO-A-LA-LEY-DE-TRANSPORTE-TERRE= STRE-TRANSITO-Y-SEGURIDAD-VIA.pdf

El UNIVE= RSO. (2020). Desatención al conducir, principal causa probable de accidentes de tránsito en Ecuador. Recuperado de: https://www.eluniverso.com/noticias/2020/01/28/nota/7713150/accidentes-caus= as-2019-ant-siniestros-ecuador

Lossetti, O., Trezza,= F., & Patitó, J. A. (2005). Accidentes de tránsito: consideraciones <= span class=3DGramE>médico-legales lesionológicas y tanatológicas. Cuadernos de Medicina Forense, 2(3).

Mazón, G= ., Calderón, P., Villa, R. & Villamarín, J. (2019). Modelo matemático para estimar la producción de la energía primaria en Ecuador. Ciencia Digital, 3(2.2), 118-131.

OPS/OMS. (2013). Los accidentes de tránsito son la primera causa mundial de muerte e= ntre jóvenes de 15 a 29 ańos. Recuperado: https://www.paho.org/arg/index.php?option=3Dcom_content&view=3Darticle&= amp;id=3D1130:los-accidentes-transito-son-primera-causa-mundial-muerte-entr= e-jovenes-15-29-anos&Itemid=3D225

Organiza= ción Mundial de la Salud. (2015). Informe sobre la situación mundial de la segur= idad vial 2015. Recuperados de https://www.who.int/violence_injury_prevention/ro= ad_safety_status/2015/es/

Peńa, D. (2010). Análisis de series temporales. Alianza Editorial.=

Villa,C., Vargas, D., & Merino, E. (2019). Factores que inciden en la siniestralidad vial en el Ecuador. Revista mktDescubre= -ESPOCH FADE, (14), 121-129.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 =

 <= /p>

 =

 =

 =

 =

 =

 =

 =


PARA CITAR EL ARTÍCULO INDEXADO.=

 <= /p>

=  

Mazón Fierro, G. J., Oleas Lara, C. X., & B= uńay, P. A. (2020). Estimación a corto plazo de siniestros de tránsito en Ecuador causado por exceso de los límites de velocidad mediante modelo matemático temporal. ConcienciaDigit= al, 3(3), 382-396. https://doi.o= rg/10.33262/concienciadigital.v3i3.1327

=  

 <= /p>

<= ![endif]>

 

 

 

 

El artículo que se publica es de exclusiva responsabilidad de los autor= es y no necesariamente reflejan el pensamiento de la Revista Conciencia Digital.

 

El artículo queda en propiedad de la revista y, por tanto, su publicación parc= ial y/o total en otro medio tiene que ser autorizado por el director de la Revista Conciencia Digital.<= /p>

 

3D"logo_catalogo3b.jpg"
 

 

 

<= o:p> 

<= o:p> 

<= o:p> 

<= o:p> 


<= ![if !supportFootnotes]>[1] Escuela Superior Politécni= ca de Chimborazo, Facultad de Administración de Empresas. Riobamba, Ecuador. guido.mazon@espoch.edu.ec,  https://orcid.org/0000-0001-8745-2373

[2] Escuela Superior Polité= cnica de Chimborazo, Facultad de Administración de Empresas. Riobamba, Ecuador. carlos.oleas@espoch.edu.ec,  https://orcid.org/0000-0003-0308-9197

[3]= Universidad Nacional de Chimborazo, Facultad de Ingeniería. Riobamb= a, Ecuador. pbunay@unach.edu.,  https://orcid.org/0000-0002-4320-6899

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                  =                                                                                             ISSN: 2600-5859

                        Vol. 3, N°3, p. 382-396, julio-septiembre, 2020

<= /o:p>

Educación del Futuro                                                                            =                                    Página 3

 

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