Projects in Awesome Lists tagged with traffic-congestion
A curated list of projects in awesome lists tagged with traffic-congestion .
https://github.com/trafficgcn/osmnx_adjacency_matrix_for_graph_convolutional_networks
Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs
adjacency-matrix data-science dijkstra dijkstra-algorithm gcn graph graph-algorithms graph-convolutional-networks matrix metrla open-street-map optimal-route osm osmnx python traffic traffic-analysis traffic-congestion
Last synced: 12 Feb 2025
https://github.com/trafficgcn/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/.
adjacency-matrix dijkstra dijkstra-algorithm dijkstra-shortest-path graph-network graph-networks graph-neural-network graph-neural-networks matrix networkx networkx-graph open-street-map openstreetmap osmnx traffic traffic-analysis traffic-congestion traffic-prediction traffic-simulation
Last synced: 05 Apr 2025
https://github.com/trafficgcn/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'.
data data-science gcn graph graph-convolutional-network graph-convolutional-networks haversine haversine-formula metr-la neural-network neural-networks pems-bay python t-gcn temporal traffic traffic-analysis traffic-congestion weather
Last synced: 05 Apr 2025
https://github.com/trafficgcn/mfd_traffic_congestion_for_data_scientists
Plotting a Macroscopic Fundamental Diagram for Data Scientists in Python for Traffic Flow in Congested Conditions
data-science macroscopic-fundamental-diagram matplotlib python traffic traffic-analysis traffic-congestion
Last synced: 27 Mar 2025
https://github.com/ppintosilva/congestion18tynewear
Flow traffic data for several congestion events occurring in the region of Tyne and Wear in the year of 2018.
dataset spatial-data traffic traffic-congestion traffic-data traffic-flow
Last synced: 16 Mar 2025
https://github.com/samia35-2973/deep-learning-for-explainable-traffic-anomaly-detection-in-dhaka
The project introduces a Multi-Stage Traffic Anomaly Analysis Framework for identifying and analyzing urban traffic congestion, particularly in Dhaka. Originally utilizing Faster R-CNN and DBSCAN, it has been upgraded to state-of-the-art YOLOv9e and YOLOv10l models for enhanced accuracy and efficiency.
computer-vision congested-region-detection congestion-analysis dbscan-clustering deep-learning dhaka eigen-cam explainable-ai faster-rcnn object-detection pedestrian-detection traffic-analysis traffic-anomaly traffic-congestion traffic-congestion-analysis vehicle-detection yolov10 yolov9
Last synced: 13 Mar 2025
