Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom-Reference-Cited by-同舟云学术

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Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom

Published:2019-09 Issue:9 Volume:20 Page:3324-3336
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Figueredo Grazziela P.^ORCID,Agrawal Utkarsh,Mase Jimiama M. M.^ORCID,Mesgarpour Mohammad,Wagner Christian^ORCID,Soria Daniele^ORCID,Garibaldi Jonathan M.^ORCID,Siebers Peer-Olaf^ORCID,John Robert I.

Funder

Innovate UK

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/8815899/08541101.pdf?arnumber=8541101

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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3. Hybrid CNN-LSTM Machine Learning Algorithm for Driver Distraction Detection;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

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5. Predicting Damage Incidents, Fines, and Fuel Consumption from Truck Driver Data: A Study from the Netherlands;Transportation Research Record: Journal of the Transportation Research Board;2023-12-13

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