Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset.
Haoyuan MaMintao ZhouXiaodong OuyangDu YinRenhe JiangXuan SongPublished in: ITSC (2022)
Keyphrases
- neural network
- transportation systems
- demand forecasting
- benchmark datasets
- graph structure
- graph theory
- multi modal
- short term
- backpropagation neural networks
- transportation costs
- directed graph
- graph representation
- structured data
- artificial neural networks
- random walk
- neural network model
- fuzzy logic
- directed acyclic graph
- pattern recognition
- weighted graph
- inventory management
- forecasting model
- transportation problem
- budget constraints
- exchange rate
- graph model
- support vector regression
- long term
- multilayer perceptron
- back propagation
- power system
- decision making
- genetic algorithm
- dynamic pricing
- electricity markets
- undirected graph
- spanning tree
- self organizing maps