1 Travel Time

1.0.1 Meta

1.0.2 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  controle
## W = 0.92576, p-value = 0.06939

1.1 VISSIM Safety Distance Factor 1.0

1.1.1 Homogeneidade das Variâncias

1.1.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -0.61073, df = 47.894, p-value = 0.5443
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.3085501  0.1647839
## sample estimates:
## mean of x mean of y 
##  38.85138  38.92326

1.2 VISSIM Safety Distance Factor 0.9

1.2.1 Homogeneidade das Variâncias

1.2.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -0.37921, df = 47.746, p-value = 0.7062
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.2651281  0.1809985
## sample estimates:
## mean of x mean of y 
##  38.85138  38.89344

1.3 VISSIM Safety Distance Factor 0.8

1.3.1 Homogeneidade das Variâncias

1.3.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -0.54285, df = 47.903, p-value = 0.5898
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.3002356  0.1725863
## sample estimates:
## mean of x mean of y 
##  38.85138  38.91520

1.4 VISSIM Safety Distance Factor 0.7

1.4.1 Homogeneidade das Variâncias

1.4.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 0.099626, df = 46.626, p-value = 0.9211
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.2030172  0.2241679
## sample estimates:
## mean of x mean of y 
##  38.85138  38.84080

1.5 VISSIM Safety Distance Factor 0.6

1.5.1 Homogeneidade das Variâncias

1.5.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -0.38802, df = 47.624, p-value = 0.6997
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.2887794  0.1953654
## sample estimates:
## mean of x mean of y 
##  38.85138  38.89808

1.6 VISSIM Safety Distance Factor 0.5

1.6.1 Homogeneidade das Variâncias

1.6.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 0.070982, df = 45.73, p-value = 0.9437
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.2018084  0.2165591
## sample estimates:
## mean of x mean of y 
##  38.85138  38.84400

1.7 VISSIM Safety Distance Factor 0.4

1.7.1 Homogeneidade das Variâncias

1.7.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -0.61551, df = 46.408, p-value = 0.5412
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.2773565  0.1474322
## sample estimates:
## mean of x mean of y 
##  38.85138  38.91634

1.8 VISSIM Safety Distance Factor 0.3

1.8.1 Homogeneidade das Variâncias

1.8.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -1.5597, df = 47.839, p-value = 0.1254
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.39882804  0.05039123
## sample estimates:
## mean of x mean of y 
##  38.85138  39.02559

1.9 VISSIM Safety Distance Factor 0.2

1.9.1 Homogeneidade das Variâncias

1.9.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -1.7877, df = 46.652, p-value = 0.08032
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.4036390  0.0238368
## sample estimates:
## mean of x mean of y 
##  38.85138  39.04128

1.10 VISSIM Safety Distance Factor 0.1

1.10.1 Homogeneidade das Variâncias

1.10.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -2.4828, df = 47.008, p-value = 0.01666
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.48256720 -0.05058128
## sample estimates:
## mean of x mean of y 
##  38.85138  39.11795

2 Queue Len

2.0.1 Meta

2.0.2 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  controle
## W = 0.70907, p-value = 9.677e-06

2.1 VISSIM Safety Distance Factor 1.0

2.1.1 Homogeneidade das Variâncias

2.1.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -1.7544, df = 45.886, p-value = 0.08604
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -63.135329   4.333915
## sample estimates:
## mean of x mean of y 
##  47.08881  76.48951

2.2 VISSIM Safety Distance Factor 0.9

2.2.1 Homogeneidade das Variâncias

2.2.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -1.5917, df = 46.138, p-value = 0.1183
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -59.882841   6.994337
## sample estimates:
## mean of x mean of y 
##  47.08881  73.53306

2.3 VISSIM Safety Distance Factor 0.8

2.3.1 Homogeneidade das Variâncias

2.3.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -0.60602, df = 47.675, p-value = 0.5474
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -37.35544  20.05466
## sample estimates:
## mean of x mean of y 
##  47.08881  55.73920

2.4 VISSIM Safety Distance Factor 0.7

2.4.1 Homogeneidade das Variâncias

2.4.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = -1.0238, df = 47.963, p-value = 0.3111
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -44.45698  14.45780
## sample estimates:
## mean of x mean of y 
##  47.08881  62.08840

2.5 VISSIM Safety Distance Factor 0.6

2.5.1 Homogeneidade das Variâncias

2.5.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 0.53427, df = 44.232, p-value = 0.5958
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -19.34868  33.31057
## sample estimates:
## mean of x mean of y 
##  47.08881  40.10786

2.6 VISSIM Safety Distance Factor 0.5

2.6.1 Homogeneidade das Variâncias

2.6.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 0.4313, df = 46.845, p-value = 0.6682
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -21.82305  33.73267
## sample estimates:
## mean of x mean of y 
##  47.08881  41.13400

2.7 VISSIM Safety Distance Factor 0.4

2.7.1 Homogeneidade das Variâncias

2.7.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 1.3125, df = 41.989, p-value = 0.1965
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -8.925925 42.131134
## sample estimates:
## mean of x mean of y 
##  47.08881  30.48620

2.8 VISSIM Safety Distance Factor 0.3

2.8.1 Homogeneidade das Variâncias

2.8.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 2.2801, df = 34.997, p-value = 0.02881
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##   2.926473 50.456003
## sample estimates:
## mean of x mean of y 
##  47.08881  20.39757

2.9 VISSIM Safety Distance Factor 0.2

2.9.1 Homogeneidade das Variâncias

2.9.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 2.1572, df = 36.759, p-value = 0.0376
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##   1.555953 49.860414
## sample estimates:
## mean of x mean of y 
##  47.08881  21.38062

2.10 VISSIM Safety Distance Factor 0.1

2.10.1 Homogeneidade das Variâncias

2.10.2 Teste T

## 
##  Welch Two Sample t-test
## 
## data:  controle and experimental
## t = 3.4734, df = 27.579, p-value = 0.001714
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  15.50003 60.13726
## sample estimates:
## mean of x mean of y 
## 47.088808  9.270163