MVCV-Traffic: multiview road traffic state estimation via cross-view learning-Reference-Cited by-同舟云学术

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MVCV-Traffic: multiview road traffic state estimation via cross-view learning

Published:2023-08-28 Issue:10 Volume:37 Page:2205-2237
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Deng Min¹²³,Chen Kaiqi¹^ORCID,Lei Kaiyuan¹,Chen Yuanfang¹,Shi Yan¹³^ORCID

Affiliation:

1. School of Geosciences and Info-Physics, Central South University (CSU), Changsha, China

2. School of Geography and Environment, Jiangxi Normal University, Nanchang, China

3. Hunan Geospatial Information Engineering and Technology Research Center, Changsha, China

Funder

National Natural Science Foundation (NSFC) of China

Hunan Provincial Natural Science Foundation of China

Hunan Provincial Innovation Foundation for Postgraduate

Central South University Innovation-Driven Research Program

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2023.2249968

Reference67 articles.

1. Analysis of adding-runs strategy for peak-hour regular bus services

2. Direct Demand Forecasting Model for Small Urban Communities Using Multiple Linear Regression

3. Multivariate interpolation to incorporate thematic surface data using inverse distance weighting (IDW)

4. Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting

5. A Temporal Directed Graph Convolution Network for Traffic Forecasting Using Taxi Trajectory Data

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. Spatio-temporal graph neural networks for missing data completion in traffic prediction;International Journal of Geographical Information Science;2024-07

2. DKNN: deep kriging neural network for interpretable geospatial interpolation;International Journal of Geographical Information Science;2024-05-06

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