Comparing traditional surrogate modelling and neural fields for vehicle crash simulation data

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SPIRE - Sciences Po Institutional REpository
Published
2025-04-02
Primary Topic
Traffic Prediction and Management Techniques
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article
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article

Comparing traditional surrogate modelling and neural fields for vehicle crash simulation data

Domenico Borzacchiello, Yves Le Guennec, José Vicente Aguado, Thibaut Defoort
SPIRE - Sciences Po Institutional REpository
Traffic Prediction and Management Techniques
article

Comparing traditional surrogate modelling and neural fields for vehicle crash simulation data

Domenico Borzacchiello, Yves Le Guennec, José Vicente Aguado, Thibaut Defoort
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Simulation Technologies (United States) (US), Institut de Recherche en Génie Civil et Mécanique (FR)
Openalex Percentile: Top 69%
Traffic Prediction and Management Techniques
Open Access PDFOpenAlex
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Comparing traditional surrogate modelling and neural fields for vehicle crash simulation data — Domenico Borzacchiello, Yves Le Guennec, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS