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1. osmnx_adjacency_matrix_for_graph_convolutional_networks osmnx_adjacency_matrix_for_graph_convolutional_networks Public

   Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs

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2. optimal_path_dijkstra_for_data_science optimal_path_dijkstra_for_data_science Public

   Plotting the Optimal Route in Python for Data Scientists using the Dijkstra Algorithm

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3. ST-GCN ST-GCN Public

   Repository for advanced traffic forecasting models integrating GCN, LSTM/Bi-LSTM, and attention mechanisms for improved accuracy, including weather data processing.

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4. 40_cities_osmnx_adjacency_matrices_for_graph_convolutional_networks 40_cities_osmnx_adjacency_matrices_for_graph_convolutional_networks Public

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

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5. haversine_mapping_for_spatial_integration_in_graph_convolutional_networks haversine_mapping_for_spatial_integration_in_graph_convolutional_networks Public

   Calculating the nearest weather sensor for each traffic sensor and then merging the weather sensors' temporal data with the traffic sensors'.

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6. mfd_traffic_congestion_for_data_scientists mfd_traffic_congestion_for_data_scientists Public

   Plotting a Macroscopic Fundamental Diagram for Data Scientists in Python for Traffic Flow in Congested Conditions

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