Car‐following trajectory data imputation with adversarial convolutional neural network

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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Bibliographic Details
Main Authors: De Zhao, Yan Zhang, Wei Wang, Xuedong Hua, Min Yang
Format: Article
Language:English
Published: Wiley 2023-05-01
Series:IET Intelligent Transport Systems
Subjects:
adversarial neural network
car‐following vehicle trajectory
convolutional neural network
missing data imputation
NGSIM
Online Access:https://doi.org/10.1049/itr2.12319

Internet

https://doi.org/10.1049/itr2.12319

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