Car‐following trajectory data imputation with adversarial convolutional neural network-Reference-Cited by-同舟云学术

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Car‐following trajectory data imputation with adversarial convolutional neural network

Published:2022-11-24 Issue: Volume: Page:
ISSN:1751-956X
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Trans Sys

Author:

Zhao De¹²³^ORCID,Zhang Yan¹²³,Wang Wei¹²³,Hua Xuedong¹²³,Yang Min¹²³

Affiliation:

1. Jiangsu Key Laboratory of Urban ITS Southeast University Nanjing China

2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Southeast University Nanjing China

3. School of Transportation Southeast University Nanjing China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/itr2.12319

Reference58 articles.

1. Trajectory data reconstruction and simulation‐based validation against macroscopic traffic patterns;Montanino M.;Transp. Res. B: Methodol.,2015

2. Virtual 3d city model as a priori information source for vehicle localization system;Dawood M.;Transp. Res. Part C Emerg. Technol.,2016

3. Estimating acceleration and lane‐changing dynamics from next generation simulation trajectory data;Thiemann C.;Transp. Res. Rec.,2008

4. A recurrent neural network based microscopic car following model to predict traffic oscillation;Zhou M.;Transp. Res. Part C Emerg. Technol.,2017

5. Comparison of modeling approaches for imputation of video detection data in intelligent transportation systems;Castrillon F.;Transp. Res. Rec.,2012

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MDTGAN: Multi domain generative adversarial transfer learning network for traffic data imputation;Expert Systems with Applications;2024-12

2. Research on transformer and long short-term memory neural network car-following model considering data loss;Mathematical Biosciences and Engineering;2023

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