Publication | Closed Access
Uncertainty quantification in vehicle dynamics
19
Citations
44
References
2019
Year
Railway TrafficEngineeringVehicle DynamicUncertain DataUncertainty FormalismUncertainty ModelingUncertainty QuantificationSystems EngineeringVehicle DynamicsModeling And SimulationTraffic SimulationRoad SectorTransportation EngineeringRobust OptimisationAutonomous DrivingRail DomainAerospace EngineeringCivil EngineeringBusinessModel Uncertainty
This paper presents a review of various works that highlight the importance of introducing the variability of the road-track/vehicle system into dynamic simulations as soon as this latter is meant to be predictive. The first section of the paper presents the Uncertainty Quantification, Verification and Validation method (UQ-VV). This latter proposes tools to model uncertainties, to associate a confidence to the prediction of quantities of interest and to estimate the probability of occurrence of different scenarios. The method is illustrated by various examples mainly from the rail domain but also from the road sector. The second section summarises application examples of predictive modelling, robust optimisation and calibration.
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