Surrogate · Rail & Transit
Gaussian Process Regression for Rail & Transit
Apply the gaussian process regression to real rail & transit problems — in the browser, with AI assistance.
GPs model outputs as draws from a distribution over functions, giving both predictions and calibrated uncertainty for expensive simulations.
In rail & transit, teams face challenges like aerodynamics, track loading, braking thermal. The gaussian process regression directly supports use cases such as train aerodynamics, rail structural fea, brake thermal analysis, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Rail & Transit use cases
- Train aerodynamics
- Rail structural FEA
- Brake thermal analysis
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