UIC comfort tests - VTI

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6.3.1 General 276.3.2 Application in the case of comfort investigation 287 Choice of the test zone 307.1 Choice of the test route 307.1.1 Evaluation of the offered routes 307.2 Selection of Test Zones 317.3 Quality of the track in the test zone 338 Description of the test 348.1 The train 348.2 Main features of ETR 470.0 348.3 Measured parameters 348.3.1 Measured signals 348.3.2 Vote registration 358.3.3 Synchronisation between votes at different locations in thetrain 368.3.4 Synchronisation of the votes and the track sections to bejudged 368.4 Test conditions 368.4.1 Route 368.4.2 Test runs 368.4.3 Test subjects 378.5 Registration of data, calculation of parameters 388.5.1 Method 388.5.2 Comment 388.6 Measurements for comfort 398.6.1 Location and type of sensors 398.6.2 Occupied places 409 Possible influences of construction concepts of vehicle,track and/or system functioning on comfort 419.1 Introduction 419.2 Basis for the examples in this chapter 419.3 Study of the car body angle 429.3.1 Influence of vehicle length 429.3.2 Influence of the flexibility of the suspension 429.4 Influence on lateral forces 439.4.1 Influence of the dynamic behaviour 439.4.2 Influence of length of the coach 449.4.3 Influence of position in coach 459.4.4 Additional discomfort due to functioning servo mechanisms 4610 General evaluation of local comfort results 4710.1 Evaluation of votes 4710.1.1 Conclusions 4810.1.2 Remark 4810.2 Variation between groups 4810.2.1 Significance of the difference 4910.3 Seat position 5010.4 Track elements 5110.5 Evaluation of measured data 53VTI notat 56A-2003
10.5.1 Transitions 5311 Evaluation of local comfort 6011.1 Analysis of Transition response 6011.1.1 Types of transition 6011.1.2 Test Conditions 6011.1.3 Parameters 6111.1.4 Scaling of votes 6211.1.5 Examination of votes 6211.1.6 Examination of data – simple transitions 6211.1.7 Relationship between parameters – simple transitions 6411.1.8 Regression analysis – simple transitions 6811.1.9 Investigation of leading vehicle effects 7211.1.10 Effect of other transition types 7311.1.11 Non-linear regressions 7811.1.12 Regression for track engineers 7811.1.13 Contribution of diverse regression parameters 7911.1.14 Estimation of group effect, knowing the regression model 8111.1.15 Estimation of the residual influence of the position in thevehicle 8411.1.16 Linear estimations of the test subjects 8511.1.17 Study of the errors: Measured-Estimation 8711.1.18 Conclusions on comfort in curve transitions 8811.2 Analysis of Circular curves 8811.2.1 Test Conditions 8811.2.2 Parameters 8911.2.3 Scaling of votes 8911.2.4 Examination of data 8911.2.5 Relationship between parameters 9111.2.6 Regression analysis 9211.2.7 Regressions with Reduced Dataset 9511.2.8 Conclusion on comfort in circular curves 9812 Evaluation of average comfort 9912.1 Analysis of average comfort 9912.1.1 Test Conditions 9912.1.2 Parameters 9912.1.3 Scaling of votes 10012.1.4 Examination of data 10012.1.5 Relationship between parameters 10112.1.6 Regression analysis 10412.2 Discussion of the results 10712.2.1 Preliminary Conclusion 10712.2.2 General quality of the regression 10712.2.3 Spread of the errors 10812.2.4 Average error per place in train. 10812.2.5 Density of importance of each parameter 10912.2.6 Cumulative importance of each parameter 10912.2.7 Conclusions 109VTI notat 56A-2003
Page 1 and 2: VTI notat 56A • 2003VTI notat 56A
Page 3: ContentsPageAbbrivations and Notati
Page 7 and 8: Abbrivations and NotationsAEAT AEA
Page 9 and 10: chosen test track with a minimum of
Page 11 and 12: 1.8.2 ModelsThree different models
Page 13 and 14: 3 What does comfort mean in the con
Page 15 and 16: Representation of passengers’ opi
Page 17 and 18: 4 How comfort evolves with speed4.1
Page 19 and 20: Each element may provoke a potentia
Page 21 and 22: 5.2.2 Theoretical behaviour of thos
Page 23 and 24: Nominal acceleration in the horizon
Page 25 and 26: 6 Actual evaluation rulesAll the fo
Page 27 and 28: Important variancesS 0 = var(y)Sr =
Page 29 and 30: 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
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Influence by roll velocity on voteA
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5.0Influence by Pct on voteAll cate
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11 Evaluation of local comfort11.1
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11.1.4 Scaling of votesThe N’ VA
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Note that very high values of later
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554433N'vaN'va221100 1 2 3 4Lateral
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Multiple regressions have therefore
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With the 1.0-second window, the jer
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The regression has been repeated wi
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(Table 11-12)Object: Simple and adj
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simple transitions, and with the re
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Table 11-18 Regression for track en
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Some characteristic data points of
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The probability that all coefficien
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Second conclusionThis also proves t
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number of real votes3025201510500,2
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11.2.2 ParametersFour parameters we
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There are some observations from th
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Table 11-30 Two-parameter regressio
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Three-parameter regression - N'VA,
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The three-parameter regression was
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12 Evaluation of average comfort12.
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Table 12-2 shows that the correlati
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3.53.5332.52.5NVA21.5NVA21.5110.50.
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Table 12-5 Multiple regression for
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This is the preferred result to be
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12.2.5 Density of importance of eac
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13.3 Conclusions in relationship wi
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An identical observation can be mad
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13.7.3 Evaluation of local comfort
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Appendix 1Page 1 (3)1 Preparing the
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Appendix 1Page 3 (3)2.5 Publish res
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Appendix 2Page 2 (10)For this progr
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Appendix 2Page 4 (10)Vertical accel
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Appendix 2Page 6 (10)Influence of l
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Appendix 2Page 8 (10)Red line : 0.1
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Appendix 2Page 10 (10)Study of aver
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Appendix 3Page 2 (2)Evaluation of h
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UIC comfort tests - VTI

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