A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic State Estimation

Yunyi Liang, Zhiyong Cui, Yu Tian, Huimiao Chen, Yinhai Wang

Type: Preprint

Publication Date: 2018-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.1801.03818

View Publication

Locations

arXiv (Cornell University) - View - PDF
DataCite API - View

Similar Works

Action	Title	Year	Authors
+ PDF Chat	A Deep Generative Adversarial Architecture for Network-Wide Spatial-Temporal Traffic-State Estimation	2018	Yunyi Liang Zhiyong Cui Yu Tian Huimiao Chen Yinhai Wang
+ PDF Chat	Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks	2022	Zhaobin Mo Yongjie Fu Xuan Di
+	Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks	2022	Zhaobin Mo Yongjie Fu Xuan Di
+	Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images	2020	Tongge Huang Pranamesh Chakraborty Anuj Sharma
+	Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images	2021	Tongge Huang Pranamesh Chakraborty Anuj Sharma
+ PDF Chat	A Hybrid Model for Traffic Incident Detection based on Generative Adversarial Networks and Transformer Model	2024	Xinying Lu Doudou Zhang Jianli Xiao
+	Networkwide Traffic State Forecasting Using Exogenous Information: A Multi-Dimensional Graph Attention-Based Approach	2023	Syed Islam Monika Filipovska
+ PDF Chat	Networkwide Traffic State Forecasting Using Exogenous Information: A Multi-Dimensional Graph Attention-Based Approach	2024	Syed Islam Monika Filipovska
+ PDF Chat	Spatial-Temporal Generative AI for Traffic Flow Estimation with Sparse Data of Connected Vehicles	2024	Jianzhe Xue Yunting Xu Dongcheng Yuan Caoyi Zha Hongyang Du Haibo Zhou Dusit Niyato
+	Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs	2023	Tong Nie Guoyang Qin Yunpeng Wang Jian Sun
+	Newell's theory based feature transformations for spatio-temporal traffic prediction	2023	Agnimitra Sengupta S. Ilgin Guler
+ PDF Chat	Domain Adversarial Spatial-Temporal Network	2022	Yihong Tang Ao Qu Andy H.F. Chow William H. K. Lam S.C. Wong Wei Ma
+	Attention-based Spatial-Temporal Graph Neural ODE for Traffic Prediction	2023	Weiheng Zhong Hadi Meidani Jane Macfarlane
+	Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting	2022	Juyong Jiang Binqing Wu Ling Chen Sunghun Kim
+	Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting	2023	Juyong Jiang Binqing Wu Ling Chen K.Y. Zhang Sung Hun Kim
+	Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting	2022	Seongjin Choi Nicolas Saunier Martin Trépanier Lijun Sun
+	Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting	2018	Bing Yu Haoteng Yin Zhanxing Zhu
+ PDF Chat	Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting	2021	Zheng Fang Qingqing Long Guojie Song Kunqing Xie
+	A multi-Layer CNN-GRUSKIP model based on transformer for spatial −TEMPORAL traffic flow prediction	2024	Karimeh Ibrahim Mohammad Ata Mohd Khair Hassan Ayad Ghany Ismaeel S. A. R. Al-Haddad Thamer‎ Alquthami Sameer Alani
+ PDF Chat	Flow-based network traffic generation using Generative Adversarial Networks	2018	Markus Ring Daniel Schlör Dieter Landes Andreas Hotho

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (2)

Action	Title	Year	Authors
+	Semantic Image Inpainting with Perceptual and Contextual Losses.	2016	Raymond A. Yeh Chen Chen Teck-Yian Lim Mark Hasegawa–Johnson N. Minh
+ PDF Chat	Deep learning for short-term traffic flow prediction	2017	Nicholas G. Polson Vadim Sokolov