1 Travel Time

1.0.1 Meta

1.0.2 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  controle
## W = 0.93686, p-value = 0.1252

1.1 VISSIM Safety Distance Factor 1.0

1.1.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.95662, p-value = 0.3513

1.1.2 Homogeneidade das Variâncias

1.1.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 0.36781, df = 44.826, p-value = 0.7147
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.1762342  0.2549701
## sample estimates:
## mean of x mean of y 
##  38.96263  38.92326

1.2 VISSIM Safety Distance Factor 0.9

1.2.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.94418, p-value = 0.1847

1.2.2 Homogeneidade das Variâncias

1.2.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 0.69508, df = 46.925, p-value = 0.4904
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.1310650  0.2694375
## sample estimates:
## mean of x mean of y 
##  38.96263  38.89344

1.3 VISSIM Safety Distance Factor 0.8

1.3.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.92599, p-value = 0.07024

1.3.2 Homogeneidade das Variâncias

1.3.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 0.44367, df = 44.868, p-value = 0.6594
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.1678893  0.2627421
## sample estimates:
## mean of x mean of y 
##  38.96263  38.91520

1.4 VISSIM Safety Distance Factor 0.7

1.4.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.97193, p-value = 0.6944

1.4.2 Homogeneidade das Variâncias

1.4.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 1.2935, df = 47.87, p-value = 0.2021
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.06755927  0.31121204
## sample estimates:
## mean of x mean of y 
##  38.96263  38.84080

1.5 VISSIM Safety Distance Factor 0.6

1.5.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.86634, p-value = 0.003657

1.5.2 Homogeneidade das Variâncias

1.5.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 0.58695, df = 43.922, p-value = 0.5602
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.1570862  0.2861743
## sample estimates:
## mean of x mean of y 
##  38.96263  38.89808

1.6 VISSIM Safety Distance Factor 0.5

1.6.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.95852, p-value = 0.3858

1.6.2 Homogeneidade das Variâncias

1.6.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 1.2944, df = 48, p-value = 0.2017
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.06564299  0.30289576
## sample estimates:
## mean of x mean of y 
##  38.96263  38.84400

1.7 VISSIM Safety Distance Factor 0.4

1.7.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.96629, p-value = 0.5532

1.7.2 Homogeneidade das Variâncias

1.7.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 0.49507, df = 47.93, p-value = 0.6228
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.1417102  0.2342880
## sample estimates:
## mean of x mean of y 
##  38.96263  38.91634

1.8 VISSIM Safety Distance Factor 0.3

1.8.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.87629, p-value = 0.0058

1.8.2 Homogeneidade das Variâncias

1.8.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -0.62717, df = 46.714, p-value = 0.5336
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.2649778  0.1390431
## sample estimates:
## mean of x mean of y 
##  38.96263  39.02559

1.9 VISSIM Safety Distance Factor 0.2

1.9.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.9326, p-value = 0.09982

1.9.2 Homogeneidade das Variâncias

1.9.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -0.83432, df = 47.861, p-value = 0.4082
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.2682038  0.1109036
## sample estimates:
## mean of x mean of y 
##  38.96263  39.04128

1.10 VISSIM Safety Distance Factor 0.1

1.10.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.97687, p-value = 0.8169

1.10.2 Homogeneidade das Variâncias

1.10.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -1.6255, df = 47.701, p-value = 0.1106
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.34747834  0.03683191
## sample estimates:
## mean of x mean of y 
##  38.96263  39.11795

2 Queue Len

2.0.1 Meta

2.0.2 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  controle
## W = 0.48814, p-value = 2.863e-08

2.1 VISSIM Safety Distance Factor 1.0

2.1.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.88601, p-value = 0.009215

2.1.2 Homogeneidade das Variâncias

2.1.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -4.7137, df = 29.17, p-value = 5.548e-05
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -92.94789 -36.70640
## sample estimates:
## mean of x mean of y 
##  11.66237  76.48951

2.2 VISSIM Safety Distance Factor 0.9

2.2.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.89312, p-value = 0.01303

2.2.2 Homogeneidade das Variâncias

2.2.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -4.5572, df = 29.317, p-value = 8.483e-05
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -89.62438 -34.11700
## sample estimates:
## mean of x mean of y 
##  11.66237  73.53306

2.3 VISSIM Safety Distance Factor 0.8

2.3.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.88928, p-value = 0.0108

2.3.2 Homogeneidade das Variâncias

2.3.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -4.1638, df = 33.183, p-value = 0.0002092
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -65.60915 -22.54452
## sample estimates:
## mean of x mean of y 
##  11.66237  55.73920

2.4 VISSIM Safety Distance Factor 0.7

2.4.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.90687, p-value = 0.02597

2.4.2 Homogeneidade das Variâncias

2.4.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -4.5478, df = 32.287, p-value = 7.236e-05
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -73.00379 -27.84828
## sample estimates:
## mean of x mean of y 
##  11.66237  62.08840

2.5 VISSIM Safety Distance Factor 0.6

2.5.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.85022, p-value = 0.001778

2.5.2 Homogeneidade das Variâncias

2.5.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -3.1996, df = 37.485, p-value = 0.0028
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -46.45110 -10.43989
## sample estimates:
## mean of x mean of y 
##  11.66237  40.10786

2.6 VISSIM Safety Distance Factor 0.5

2.6.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.80347, p-value = 0.0002599

2.6.2 Homogeneidade das Variâncias

2.6.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -2.963, df = 34.541, p-value = 0.005484
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -49.67358  -9.26969
## sample estimates:
## mean of x mean of y 
##  11.66237  41.13400

2.7 VISSIM Safety Distance Factor 0.4

2.7.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.80839, p-value = 0.0003148

2.7.2 Homogeneidade das Variâncias

2.7.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -2.2773, df = 39.741, p-value = 0.02823
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -35.533243  -2.114429
## sample estimates:
## mean of x mean of y 
##  11.66237  30.48620

2.8 VISSIM Safety Distance Factor 0.3

2.8.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.76674, p-value = 6.657e-05

2.8.2 Homogeneidade das Variâncias

2.8.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -1.2973, df = 46.493, p-value = 0.2009
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -22.285303   4.814896
## sample estimates:
## mean of x mean of y 
##  11.66237  20.39757

2.9 VISSIM Safety Distance Factor 0.2

2.9.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.74802, p-value = 3.469e-05

2.9.2 Homogeneidade das Variâncias

2.9.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -1.3698, df = 44.931, p-value = 0.1775
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -24.007848   4.571333
## sample estimates:
## mean of x mean of y 
##  11.66237  21.38062

2.10 VISSIM Safety Distance Factor 0.1

2.10.1 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  experimental
## W = 0.67582, p-value = 3.504e-06

2.10.2 Homogeneidade das Variâncias

2.10.3 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 0.46159, df = 41.826, p-value = 0.6468
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -8.067852 12.852260
## sample estimates:
## mean of x mean of y 
## 11.662367  9.270163