Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction.
Xiaowei GaoXinke JiangDingyi ZhuangHuanfa ChenShenhao WangJames HaworthPublished in: CoRR (2023)
Keyphrases
- neural network
- risk measures
- risk averse
- prediction model
- spatiotemporal databases
- artificial neural networks to predict
- expected utility
- pattern recognition
- prediction accuracy
- prediction algorithm
- network traffic
- graph matching
- neural network ensemble
- neural networks and support vector machines
- spatial and temporal
- recurrent neural networks
- prediction error
- graph representation
- probability measure
- random walk
- artificial neural networks
- graph theory
- multi layer perceptron
- risk management
- extreme events
- belief functions
- uncertain data
- directed graph
- self organizing maps
- graph model
- graph mining
- directed acyclic graph
- neural network model
- connected components
- risk aversion
- fault diagnosis
- fuzzy logic
- spatio temporal
- chance constraints
- decision making
- genetic algorithm