https://github.com/trafficgcn/haversine_mapping_for_spatial_integration_in_graph_convolutional_networks
Calculating the nearest weather sensor for each traffic sensor and then merging the weather sensors' temporal data with the traffic sensors'.
https://github.com/trafficgcn/haversine_mapping_for_spatial_integration_in_graph_convolutional_networks
data data-science gcn graph graph-convolutional-network graph-convolutional-networks haversine haversine-formula metr-la neural-network neural-networks pems-bay python t-gcn temporal traffic traffic-analysis traffic-congestion weather
Last synced: 1 day ago
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Calculating the nearest weather sensor for each traffic sensor and then merging the weather sensors' temporal data with the traffic sensors'.
- Host: GitHub
- URL: https://github.com/trafficgcn/haversine_mapping_for_spatial_integration_in_graph_convolutional_networks
- Owner: TrafficGCN
- License: mit
- Created: 2023-10-21T21:03:50.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-11-23T20:27:42.000Z (almost 2 years ago)
- Last Synced: 2025-04-05T23:14:08.559Z (6 months ago)
- Topics: data, data-science, gcn, graph, graph-convolutional-network, graph-convolutional-networks, haversine, haversine-formula, metr-la, neural-network, neural-networks, pems-bay, python, t-gcn, temporal, traffic, traffic-analysis, traffic-congestion, weather
- Language: Python
- Homepage:
- Size: 119 MB
- Stars: 4
- Watchers: 1
- Forks: 1
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE