TrafficGCN

TrafficGCN

Geek Repo

Open source Temporal Graph Convolutional networks. Papers to come.

Location:Germany

Home Page:https://TrafficGCN.com

Twitter:@TrafficGCN

Github PK Tool:Github PK Tool

TrafficGCN's repositories

osmnx_adjacency_matrix_for_graph_convolutional_networks

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

Language:Jupyter NotebookLicense:MITStargazers:16Issues:3Issues:0

optimal_path_dijkstra_for_data_science

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

Language:PythonLicense:MITStargazers:10Issues:2Issues:0

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/.

Language:PythonLicense:NOASSERTIONStargazers:5Issues:2Issues:0

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'.

Language:PythonLicense:MITStargazers:2Issues:1Issues:1
Language:PythonLicense:MITStargazers:1Issues:0Issues:0

mfd_traffic_congestion_for_data_scientists

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

Language:PythonLicense:MITStargazers:1Issues:2Issues:0