SVR approach for predicting vehicle velocity for comfortable ride while crossing speed humps

SVR approach for predicting vehicle velocity for comfortable ride while crossing speed humps

This research focuses on the ride comfort of passengers in vehicles equipped with passive suspension systems. To ensure ride comfort, the paper proposes predicting the vehicle's appropriate velocity that drivers should sustain before approaching speed humps. Support Vector Machines, a powerful...

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Bibliographic Details
Main Authors: Mohamad Darwiche, Ossama Mokhiamar
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Alexandria Engineering Journal
Subjects:
Ride comfort
Passive suspension system
Velocity prediction
Machine learning
Support Vector Regression (SVR)
Online Access:http://www.sciencedirect.com/science/article/pii/S111001682100778X

Internet

http://www.sciencedirect.com/science/article/pii/S111001682100778X

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