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traffic-congestion

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40_cities_osmnx_adjacency_matrices_for_graph_convolutional_networks

TrafficGCN / 40_cities_osmnx_adjacency_matrices_for_graph_convolutional_networks

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Dijkstra adjacency distance matrices were calculated for 40 cities from traffic sensor locations provide by UTD19 https://utd19.ethz.ch/.

matrix openstreetmap traffic traffic-analysis networkx dijkstra dijkstra-algorithm traffic-prediction traffic-simulation dijkstra-shortest-path adjacency-matrix networkx-graph open-street-map osmnx graph-neural-networks traffic-congestion graph-networks graph-network graph-neural-network
  • Updated Nov 18, 2023
  • Python
haversine_mapping_for_spatial_integration_in_graph_convolutional_networks

TrafficGCN / haversine_mapping_for_spatial_integration_in_graph_convolutional_networks

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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'.

python weather data-science data neural-network graph traffic traffic-analysis neural-networks haversine temporal haversine-formula graph-convolutional-networks gcn graph-convolutional-network traffic-congestion metr-la t-gcn pems-bay
  • Updated Nov 23, 2023
  • Python

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