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https://github.com/trafficgcn/40_cities_osmnx_adjacency_matrices_for_graph_convolutional_networks
Dijkstra adjacency distance matrices were calculated for 40 cities from traffic sensor locations provide by UTD19 https://utd19.ethz.ch/.
https://github.com/trafficgcn/40_cities_osmnx_adjacency_matrices_for_graph_convolutional_networks
adjacency-matrix dijkstra dijkstra-algorithm dijkstra-shortest-path graph-network graph-networks graph-neural-network graph-neural-networks matrix networkx networkx-graph open-street-map openstreetmap osmnx traffic traffic-analysis traffic-congestion traffic-prediction traffic-simulation
Last synced: about 20 hours ago
JSON representation
Dijkstra adjacency distance matrices were calculated for 40 cities from traffic sensor locations provide by UTD19 https://utd19.ethz.ch/.
- Host: GitHub
- URL: https://github.com/trafficgcn/40_cities_osmnx_adjacency_matrices_for_graph_convolutional_networks
- Owner: TrafficGCN
- License: other
- Created: 2023-03-14T00:46:12.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-11-18T12:23:28.000Z (about 1 year ago)
- Last Synced: 2024-01-27T23:38:23.617Z (about 1 year ago)
- Topics: adjacency-matrix, dijkstra, dijkstra-algorithm, dijkstra-shortest-path, graph-network, graph-networks, graph-neural-network, graph-neural-networks, matrix, networkx, networkx-graph, open-street-map, openstreetmap, osmnx, traffic, traffic-analysis, traffic-congestion, traffic-prediction, traffic-simulation
- Language: Python
- Homepage:
- Size: 589 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE