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In this paper, we perform Uncertainty Quantification (UQ) for the ride quality mobility test as implemented by the CREATE-GV Mercury modeling and simulation (M&S) software. We briefly explain the software itself, define the ride quality mobility test and associated metrics, discuss the uncertainty that arises as part of this test simulation procedure, and quantify that uncertainty through a large number of simulations performed on High-Performance Computing (HPC) resources, using parameterized terrain randomization. We present and discuss the results of these experiments, which reveal a higher level of uncertainty associated with this mobility test than initially expected.

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Uncertainty Quantification for Ride Quality Mobility Tests Using CREATE-GV Mercury

  • 会议论文

  • 发表日期：

    2025年

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  • Jeremy Mange,
  • Sara Boyle

摘要

In this paper, we perform Uncertainty Quantification (UQ) for the ride quality mobility test as implemented by the CREATE-GV Mercury modeling and simulation (M&S) software. We briefly explain the software itself, define the ride quality mobility test and associated metrics, discuss the uncertainty that arises as part of this test simulation procedure, and quantify that uncertainty through a large number of simulations performed on High-Performance Computing (HPC) resources, using parameterized terrain randomization. We present and discuss the results of these experiments, which reveal a higher level of uncertainty associated with this mobility test than initially expected.