Vertical Force Monitoring of Racing Tires: A Novel Deep Neural Network-Based Estimation Method

Vertical Force Monitoring of Racing Tires: A Novel Deep Neural Network-Based Estimation Method

This study aims to accurately estimate vertical tire forces on racing tires of specific stiffness using acceleration, pressure, and speed data measurements from a test rig. A hybrid model, termed Random Forest Assisted Deep Neural Network (RFADNN), is introduced, combining a novel deep learning fram...

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Bibliographic Details
Main Authors: Semih Öngir, Egemen Cumhur Kaleli, Mehmet Zeki Konyar, Hüseyin Metin Ertunç
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
deep learning
vertical tire force estimation
Long Short-Term Memory (LSTM)
Minimal Gated Unit (MGU)
temporal convolutional networks
attention mechanism
Online Access:https://www.mdpi.com/2076-3417/15/1/123
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