Quantifying the spatial homogeneity of urban road networks via graph neural networks.
Jiawei XueNan JiangSenwei LiangQiyuan PangTakahiro YabeSatish V. UkkusuriJianzhu MaPublished in: Nat. Mach. Intell. (2022)
Keyphrases
- road network
- spatial networks
- neural network
- transportation networks
- spatial databases
- traffic congestion
- geographic information systems
- spatial queries
- shortest path
- travel time
- uncertain trajectories
- edge weights
- weighted graph
- urban areas
- moving objects
- route planning
- spatial data
- location based services
- trajectory data
- traffic data
- random walk
- spatio temporal
- spatial objects
- metric space
- road segments
- moving objects databases
- traffic conditions
- fastest path
- spanning tree
- graph structure
- directed graph
- k nearest neighbor
- directed acyclic graph
- bipartite graph
- spatial relationships
- traveling salesman problem
- map matching
- multi dimensional
- path queries
- nearest neighbor
- mobile devices
- computer vision