trafficgcn Goto Github PK
Name: TrafficGCN
Type: Organization
Bio: Open source Temporal Graph Convolutional networks. Papers to come.
Twitter: TrafficGCN
Location: Germany
Blog: https://TrafficGCN.com
Name: TrafficGCN
Type: Organization
Bio: Open source Temporal Graph Convolutional networks. Papers to come.
Twitter: TrafficGCN
Location: Germany
Blog: https://TrafficGCN.com
Dijkstra adjacency distance matrices were calculated for 40 cities from traffic sensor locations provide by UTD19 https://utd19.ethz.ch/.
Calculating the nearest weather sensor for each traffic sensor and then merging the weather sensors' temporal data with the traffic sensors'.
Plotting a Macroscopic Fundamental Diagram for Data Scientists in Python for Traffic Flow in Congested Conditions
Collects and processes citizen requests about traffic conditions in Munich. Sammelt und verarbeitet Bürgeranfragen zur Verkehrssituation in München.
Plotting the Optimal Route in Python for Data Scientists using the Dijkstra Algorithm
Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs
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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