TrafficGCN

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1. ST-GCN ST-GCNPublic

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

   Python 32 6

2. osmnx_adjacency_matrix_for_graph_convolutional_networks osmnx_adjacency_matrix_for_graph_convolutional_networksPublic

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

   Jupyter Notebook 26 2

3. optimal_path_dijkstra_for_data_science optimal_path_dijkstra_for_data_sciencePublic

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

   Python 12 2

4. 40_cities_osmnx_adjacency_matrices_for_graph_convolutional_networks 40_cities_osmnx_adjacency_matrices_for_graph_convolutional_networksPublic

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

   Python 10

5. haversine_mapping_for_spatial_integration_in_graph_convolutional_networks haversine_mapping_for_spatial_integration_in_graph_convolutional_networksPublic

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

   Python 6 1

6. mfd_traffic_congestion_for_data_scientists mfd_traffic_congestion_for_data_scientistsPublic

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

   Python 3