KalcMatej99/TrafficPrediction_MLG_Project

Traffic prediction using Spatio-Temporal Graph Neural Network

21
/ 100
Experimental

This tool helps traffic managers and urban planners anticipate future road congestion. By analyzing historical traffic data, it can predict traffic flow and speed for specific road segments, allowing for better resource allocation and decision-making to alleviate bottlenecks before they happen. Its users are primarily city planners, transportation engineers, and logistics professionals.

No commits in the last 6 months.

Use this if you need to accurately forecast traffic conditions to proactively manage urban mobility or optimize logistics operations.

Not ideal if you need to predict traffic in real-time with very limited historical data, or if you're looking for a simple, off-the-shelf mobile navigation app.

traffic-management urban-planning transportation-logistics congestion-forecasting smart-cities
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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9

Forks

Language

Jupyter Notebook

License

GPL-3.0

Last pushed

Mar 21, 2023

Commits (30d)

0

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