UIC comfort tests - VTI

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The probability that all coefficients are zero is judged by (1) the coefficient ofFischer-Snedecor, in this case with 11 and 1087 degrees of freedom. Thisprobability is zero.Table 11-22 Difference invoting between the differentgroups.CorrectionG 0,2276H 0,2155E -0,1043F -0,1125D -0,2968A -0,1851B 0,1020C 0,1538SUM 0,0000The calculation suggests following corrections (Comfort evaluation units)note: Sum=0 because sum of all coefficients needs to be zero, the average value isnot changed.Reduced modelAlternative hypothesis: All correction coefficients are zero (no group effect).Table 11-23 Model with no group effect.F 179,4242 4 1094 1Y0 816,7674Yr [model 2] 493,2081Comparison between two hypotheses:The probability that F=12.5 with 7 and 1087 degrees is a random value is smallerthan 0.03%, so we have to accept that indeed there is a difference in votingbetween groups (not all correction coefficients are simultaneously zero).The correlation factor is also reduced by 0.03 %.However the estimated corrections are small.Table 11-24 Comparison between thetwo models with and without groupeffects.F 12,53715Prob F >0 0,999752df1 7df2 1087ConclusionIn spite of the positive test but taken into account that corrections are relativelysmall we advise not to take the corrections into account in further study.<strong>VTI</strong> notat 56A-2003 83
11.1.15 Estimation of the residual influence of the position in thevehicleThis question is solved by an identical method.Full modelTable 11-25 Full model for estimation of effect of positions.Reference Value Degrees offreedomDegrees offreedomProbability allparameters areequal to zeroF 93,47005 8 1090 0Y0 816,7674Yr [model 3] 484,4355Estimated correctionsTable 11-26 Difference in voting ofthe differens position.ValueRac1 0,1106BB1 -0,1688BBm 0,0510BB2 0,0184Bac1 -0,0112Sum 0,0Reduced regressionTable 11-27 Reduced model with no influence of postions.F 179,4242 4 1094 1Y0 816,7674Yr [model 4] 493,2081Comparison between two hypotheses:Table 11-28 Comparison of thetwo models with and withoutinfluence of position.F 4,934666Prob F>0 0,996841df1 4df2 1090ConclusionFirst conclusionThe result of the investigation is positive, position corrections are not zero, buttheir absolute value is very small, so that in practice it has no sense to take theposition into account.84 <strong>VTI</strong> notat 56A-2003
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VTI notat 56A • 2003VTI notat 56A
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ContentsPageAbbrivations and Notati
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10.5.1 Transitions 5311 Evaluation
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Abbrivations and NotationsAEAT AEA
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chosen test track with a minimum of
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1.8.2 ModelsThree different models
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3 What does comfort mean in the con
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Representation of passengers’ opi
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4 How comfort evolves with speed4.1
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Each element may provoke a potentia
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5.2.2 Theoretical behaviour of thos
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Nominal acceleration in the horizon
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6 Actual evaluation rulesAll the fo
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Important variancesS 0 = var(y)Sr =
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7 Choice of the test zone7.1 Choice
Page 31 and 32: 9.008.007.006.00roll velocity5.004.
Page 33 and 34: 8 Description of the test8.1 The tr
Page 35 and 36: 8.3.3 Synchronisation between votes
Page 37 and 38: 8.5 Registration of data, calculati
Page 39 and 40: DRIVER CAB8.6.2 Occupied places2224
Page 41 and 42: 9.3 Study of the car body angle9.3.
Page 43 and 44: 9.4.2 Influence of length of the co
Page 45 and 46: 9.4.4 Additional discomfort due to
Page 47 and 48: 10.1.1 ConclusionsThe actual distri
Page 49 and 50: 10.3 Seat positionThe influence of
Page 51 and 52: Average votes for the different tra
Page 53 and 54: Figures 10-5 to 10-10 show the infl
Page 55 and 56: Influence by roll velocity on voteA
Page 57 and 58: 5.0Influence by Pct on voteAll cate
Page 59 and 60: 11 Evaluation of local comfort11.1
Page 61 and 62: 11.1.4 Scaling of votesThe N’ VA
Page 63 and 64: Note that very high values of later
Page 65 and 66: 554433N'vaN'va221100 1 2 3 4Lateral
Page 68 and 69: Multiple regressions have therefore
Page 70 and 71: With the 1.0-second window, the jer
Page 72 and 73: The regression has been repeated wi
Page 74 and 75: (Table 11-12)Object: Simple and adj
Page 76 and 77: simple transitions, and with the re
Page 78 and 79: Table 11-18 Regression for track en
Page 80 and 81: Some characteristic data points of
Page 84 and 85: Second conclusionThis also proves t
Page 86 and 87: number of real votes3025201510500,2
Page 88 and 89: 11.2.2 ParametersFour parameters we
Page 90 and 91: There are some observations from th
Page 92 and 93: Table 11-30 Two-parameter regressio
Page 94 and 95: Three-parameter regression - N'VA,
Page 96 and 97: The three-parameter regression was
Page 98 and 99: 12 Evaluation of average comfort12.
Page 100 and 101: Table 12-2 shows that the correlati
Page 102 and 103: 3.53.5332.52.5NVA21.5NVA21.5110.50.
Page 104 and 105: Table 12-5 Multiple regression for
Page 106 and 107: This is the preferred result to be
Page 108 and 109: 12.2.5 Density of importance of eac
Page 110 and 111: 13.3 Conclusions in relationship wi
Page 112 and 113: An identical observation can be mad
Page 114 and 115: 13.7.3 Evaluation of local comfort
Page 116 and 117: Appendix 1Page 1 (3)1 Preparing the
Page 118 and 119: Appendix 1Page 3 (3)2.5 Publish res
Page 120 and 121: Appendix 2Page 2 (10)For this progr
Page 122 and 123: Appendix 2Page 4 (10)Vertical accel
Page 124 and 125: Appendix 2Page 6 (10)Influence of l
Page 126 and 127: Appendix 2Page 8 (10)Red line : 0.1
Page 128 and 129: Appendix 2Page 10 (10)Study of aver
Page 130: Appendix 3Page 2 (2)Evaluation of h
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UIC comfort tests - VTI

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