Forecasting vehicle accelerations using LSTM

The purpose of this paper is to forecast vehicle accelerations by using a Long Short Term Memory (LSTM) approach. Such a predictive capability can be particularly helpful in the case of medical emergency vehicles. During emergency transport, a patient is likely to experience vehicle accelerations in...

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Bibliographic Details
Main Authors: Takeyuki ONO, Ryosuke ETO, Junya YAMAKAWA
Format: Article
Language:English
Published: The Japan Society of Mechanical Engineers 2021-06-01
Series:Mechanical Engineering Journal
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/mej/8/4/8_21-00045/_pdf/-char/en