1 Travel Time

1.0.1 Meta

1.0.2 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  controle
## W = 0.94902, p-value = 0.2383

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 = -1.0307, df = 40.573, p-value = 0.3088
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.30750221  0.09972771
## sample estimates:
## mean of x mean of y 
##  38.81937  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 = -0.79825, df = 43.416, p-value = 0.4291
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.2611445  0.1130066
## sample estimates:
## mean of x mean of y 
##  38.81937  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 = -0.95217, df = 40.622, p-value = 0.3466
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.2991371  0.1074794
## sample estimates:
## mean of x mean of y 
##  38.81937  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 = -0.24624, df = 45.538, p-value = 0.8066
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.1966461  0.1537885
## sample estimates:
## mean of x mean of y 
##  38.81937  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 = -0.75759, df = 39.57, p-value = 0.4532
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.2887645  0.1313422
## sample estimates:
## mean of x mean of y 
##  38.81937  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 = -0.29226, df = 46.469, p-value = 0.7714
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.1942097  0.1449521
## sample estimates:
## mean of x mean of y 
##  38.81937  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 = -1.0307, df = 40.573, p-value = 0.3088
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.30750221  0.09972771
## sample estimates:
## mean of x mean of y 
##  38.81937  38.92326

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 = -2.2006, df = 43.074, p-value = 0.03318
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.39520523 -0.01723991
## sample estimates:
## mean of x mean of y 
##  38.81937  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 = -2.5473, df = 45.506, p-value = 0.0143
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.39730709 -0.04650348
## sample estimates:
## mean of x mean of y 
##  38.81937  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 = -3.3737, df = 45.005, p-value = 0.001534
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.4768319 -0.1203249
## sample estimates:
## mean of x mean of y 
##  38.81937  39.11795

2 Queue Len

2.0.1 Meta

2.0.2 Normalidade dos Dados

## 
##  Shapiro-Wilk normality test
## 
## data:  controle
## W = 0.57968, p-value = 2.525e-07

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 = -4.0952, df = 32.281, p-value = 0.0002646
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -86.90879 -29.18434
## sample estimates:
## mean of x mean of y 
##  18.44295  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 = -3.9342, df = 32.507, p-value = 0.0004131
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -83.59590 -26.58431
## sample estimates:
## mean of x mean of y 
##  18.44295  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 = -3.3517, df = 38.102, p-value = 0.001823
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -59.82109 -14.77140
## sample estimates:
## mean of x mean of y 
##  18.44295  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 = -3.7604, df = 36.874, p-value = 0.0005883
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -67.16534 -20.12556
## sample estimates:
## mean of x mean of y 
##  18.44295  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 = -2.2735, df = 43.25, p-value = 0.02802
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -40.879122  -2.450697
## sample estimates:
## mean of x mean of y 
##  18.44295  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 = -2.1567, df = 39.87, p-value = 0.03712
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -43.957708  -1.424386
## sample estimates:
## mean of x mean of y 
##  18.44295  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 = -4.0952, df = 32.281, p-value = 0.0002646
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -86.90879 -29.18434
## sample estimates:
## mean of x mean of y 
##  18.44295  76.48951

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 = -0.25865, df = 47.81, p-value = 0.797
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -17.15061  13.24138
## sample estimates:
## mean of x mean of y 
##  18.44295  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 = -0.37279, df = 47.976, p-value = 0.7109
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -18.78229  12.90695
## sample estimates:
## mean of x mean of y 
##  18.44295  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 = 1.4759, df = 36.173, p-value = 0.1486
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -3.429748 21.775328
## sample estimates:
## mean of x mean of y 
## 18.442953  9.270163