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"How do urban incidents affect traffic speed?" A Deep Graph
  Convolutional Network for Incident-driven Traffic Speed Prediction

"How do urban incidents affect traffic speed?" A Deep Graph Convolutional Network for Incident-driven Traffic Speed Prediction

3 December 2019
Qinge Xie
Tiancheng Guo
Yang Chen
Yu Xiao
Xin Wang
Ben Y. Zhao
    GNN
ArXiv (abs)PDFHTML

Papers citing ""How do urban incidents affect traffic speed?" A Deep Graph Convolutional Network for Incident-driven Traffic Speed Prediction"

3 / 3 papers shown
Title
MSCT: Addressing Time-Varying Confounding with Marginal Structural
  Causal Transformer for Counterfactual Post-Crash Traffic Prediction
MSCT: Addressing Time-Varying Confounding with Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic Prediction
Shuang Li
Ziyuan Pu
Nan Zhang
Duxin Chen
Lu Dong
Daniel J. Graham
Yinhai Wang
112
0
0
19 Jul 2024
Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic:
  A Doubly Robust Causal Machine Learning Approach
Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach
Shuang Li
Ziyuan Pu
Zhiyong Cui
Seunghyeon Lee
Xiucheng Guo
D. Ngoduy
CML
44
14
0
01 Jan 2024
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain:
  A Survey
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey
Jiexia Ye
Juanjuan Zhao
Kejiang Ye
Chengzhong Xu
GNNAI4TSAI4CE
99
199
0
24 May 2020
1