A generative adversarial network for travel times imputation using trajectory data-Reference-Cited by-同舟云学术

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A generative adversarial network for travel times imputation using trajectory data

Published:2020-06-24 Issue:2 Volume:36 Page:197-212
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer‐Aided Civil and Infrastructure Engineering

Author:

Zhang Kunpeng¹,He Zhengbing²,Zheng Liang³,Zhao Liang¹,Wu Lan¹

Affiliation:

1. College of Electrical Engineering Henan University of Technology Zhengzhou China

2. Beijing Key Laboratory of Traffic Engineering Beijing University of Technology Beijing China

3. School of Traffic and Transportation Engineering Central South University Changsha China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12595

Reference49 articles.

1. Mesoscopic-Wavelet Freeway Work Zone Flow and Congestion Feature Extraction Model

2. Missing data imputation for traffic flow speed using spatio-temporal cokriging

3. Dynamic headway control for high‐frequency bus line based on speed guidance and intersection signal adjustment

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