Traffic Data Imputation and Prediction: An Efficient Realization of Deep Learning

In this paper, we study the prediction of traffic flow in the presence of missing information from data set. Specifically, we adopt three different patterns to model the missing data structure, and apply two types of approaches for the imputation. In consequence, a forecasting model via deep learnin...

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Bibliographic Details
Main Authors: Junhui Zhao, Yiwen Nie, Shanjin Ni, Xiaoke Sun
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9025252/