Long COVID in the context of driving styles:An empirical study employing connected vehicle trajectory dataOA
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
Center for Urban Transportation Research,The University of South Florida,Tampa,FL 33620,United StatesCenter for Urban Transportation Research,The University of South Florida,Tampa,FL 33620,United StatesCenter for Urban Transportation Research,The University of South Florida,Tampa,FL 33620,United StatesCenter for Urban Transportation Research,The University of South Florida,Tampa,FL 33620,United States
COVID-19Driving stylesVolatilityClusteringHierarchical modelingConnected vehicles
COVID-19Driving stylesVolatilityClusteringHierarchical modelingConnected vehicles
《交通运输工程学报（英文版）》 2026 (1)
115-134,20
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.
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