Digital twin for motorcycle riding profile prediction-Reference-Cited by-同舟云学术

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Digital twin for motorcycle riding profile prediction

Published:2024-04 Issue: Volume:161 Page:104569
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Smeets Jasper,Öztürk Kemal^ORCID,Liebich Robert^ORCID

Publisher

Elsevier BV

Reference79 articles.

1. Toward sustainability and resilience with industry 4.0 and industry 5.0;Aheleroff;Front. Manuf. Technol.,2022

2. Mass personalisation as a service in industry 4.0: A resilient response case study;Aheleroff;Adv. Eng. Inform.,2021

3. Digital twin as a service (DTaaS) in industry 4.0: An architecture reference model;Aheleroff;Adv. Eng. Inform.,2021

4. A machine learning-based digital twin for electric vehicle battery modeling;Alamin,2022

5. Calculated modes for assessing operation properties and dependability of vehicles;Algin,2019

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