Car‐following trajectory data imputation with adversarial convolutional neural network

Abstract Missing values in the vehicle trajectory data undermine its application in traffic modelling and simulation. Traditional methods for missing data imputation rely on neighbor points of the missing/distorted data point and consequently can hardly handle trajectory with consecutive data loss....

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Auteurs principaux:	De Zhao, Yan Zhang, Wei Wang, Xuedong Hua, Min Yang
Format:	Artigo
Langue:	Inglês
Publié:	Wiley 2023-05-01
Collection:	IET Intelligent Transport Systems
Sujets:	adversarial neural network car‐following vehicle trajectory convolutional neural network missing data imputation NGSIM
Accès en ligne:	https://doi.org/10.1049/itr2.12319
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