HKAB/ML-Project-Traffic-Flow-Forecasting

ASTGCN, LSTM, GCN LSTM with fused result from previous week, day, hour

21
/ 100
Experimental

This project helps urban planners and traffic managers predict future traffic flow on roads. By analyzing historical traffic sensor data, it can forecast how busy specific road segments will be in the coming hours, days, or even a week out. The output is a prediction of traffic conditions, useful for optimizing traffic signals or planning road maintenance, and it's primarily for transportation authorities or logistics companies.

No commits in the last 6 months.

Use this if you need to anticipate traffic congestion and flow patterns for urban planning, traffic management, or logistics optimization.

Not ideal if you need real-time, instantaneous traffic updates rather than predictive forecasts.

traffic-management urban-planning transportation-logistics predictive-modeling smart-cities
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 7 / 25

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Last pushed

Sep 29, 2022

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