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Long COVID in the context of driving styles:An empirical study employing connected vehicle trajectory data

Vishal C.Kummetha Amin Mohammadnazar Sisinnio Concas Achilleas Kourtellis

交通运输工程学报(英文版)2026,Vol.13Issue(1):115-134,20.
交通运输工程学报(英文版)2026,Vol.13Issue(1):115-134,20.DOI:10.1016/j.jtte.2025.11.001

Long COVID in the context of driving styles:An empirical study employing connected vehicle trajectory data

Long COVID in the context of driving styles:An empirical study employing connected vehicle trajectory data

Vishal C.Kummetha 1Amin Mohammadnazar 1Sisinnio Concas 1Achilleas Kourtellis1

作者信息

  • 1. Center for Urban Transportation Research,The University of South Florida,Tampa,FL 33620,United States
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摘要

关键词

COVID-19/Driving styles/Volatility/Clustering/Hierarchical modeling/Connected vehicles

Key words

COVID-19/Driving styles/Volatility/Clustering/Hierarchical modeling/Connected vehicles

引用本文复制引用

Vishal C.Kummetha,Amin Mohammadnazar,Sisinnio Concas,Achilleas Kourtellis..Long COVID in the context of driving styles:An empirical study employing connected vehicle trajectory data[J].交通运输工程学报(英文版),2026,13(1):115-134,20.

基金项目

This work was supported,in part,by the U.S.Department of Transportation and the Tampa Hillsborough Expressway Au-thority(THEA)under the grant number DTFH6115R00003.The authors would like to thank the USDOT and THEA for their support and guidance throughout the CV pilot deployment.Any opinions,findings,and conclusions or recommendations expressed in this paper are those of the authors and do not reflect the views of the sponsors. (THEA)

交通运输工程学报(英文版)

2095-7564

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