2016
DOI: 10.1016/j.ifacol.2016.10.647
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Leaves on the Line: Low Adhesion Detection in Railways

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Cited by 5 publications
(5 citation statements)
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“…26 Further research will be undertaken to try to mitigate the impact of defensive driving when examining the data set, the use of the on-board GPS data will facilitate this. 27 Cleaning the line after each 5th loop prevents full formation of a strongly bonded 'black layer', however restoring the line to clean state was stipulated by the test site at the end of each test day. This is because the test site uses the track for other vehicles when the brake tests were not being conducted.…”
Section: Created Leaf-layers As Low Adhesion Simulantsmentioning
confidence: 99%
“…26 Further research will be undertaken to try to mitigate the impact of defensive driving when examining the data set, the use of the on-board GPS data will facilitate this. 27 Cleaning the line after each 5th loop prevents full formation of a strongly bonded 'black layer', however restoring the line to clean state was stipulated by the test site at the end of each test day. This is because the test site uses the track for other vehicles when the brake tests were not being conducted.…”
Section: Created Leaf-layers As Low Adhesion Simulantsmentioning
confidence: 99%
“…This now provides an expression for F sus in terms of the variables expressed in (10). Using the parameter identification method in (12), and a time history of the required states from the simulation model, the resultant value of Θ F is shown in the application of equation 13: (17) As before, the right hand side of (17) can be generated directly from simulation data to provide a numerical solution for M sus . In this case, the suspension geometry does not allow for any combination of terms so the state variables required to be defined for M sus arê…”
Section: Parameter Identification For Suspension Descriptionmentioning
confidence: 99%
“…Again, the minimisation of error is performed using (12), and the resultant 260 value of Θ M is shown in the application of equation (13):…”
Section: Parameter Identification For Suspension Descriptionmentioning
confidence: 99%
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