Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level
Traffic Accident Prediction

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Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction

10 September 2023

Shenhao Wang

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Papers citing "Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction"

7 / 7 papers shown

Title
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection Chaoyue Ding Shiliang Sun Jing Zhao AI4TS 69 150 0 17 Oct 2023
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction Xinke Jiang Dingyi Zhuang Xianghui Zhang Hao Chen Jiayuan Luo Xiaowei Gao 26 23 0 16 Jun 2023
RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework Zhengyang Zhou Yang Wang Xike Xie Lianliang Chen Hengchang Liu 72 125 0 19 Feb 2020
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights Sobhan Moosavi Mohammad Hossein Samavatian Srinivasan Parthasarathy R. Teodorescu R. Ramnath 43 130 0 19 Sep 2019
Tweedie Gradient Boosting for Extremely Unbalanced Zero-inflated Data H. Zhou Yi Yang W. Qian 26 45 0 26 Nov 2018
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction Ling Zhao Yujiao Song Chao Zhang Yu Liu Pu Wang Tao Lin Min Deng Haifeng Li AI4TS 83 2,016 0 12 Nov 2018
Real-time Traffic Accident Risk Prediction based on Frequent Pattern Tree Lei Lin Qian Wang A. Sadek 43 167 0 20 Jan 2017