KalcMatej99/TrafficPrediction_MLG_Project
Traffic prediction using Spatio-Temporal Graph Neural Network
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.
Stars
9
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Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Mar 21, 2023
Commits (30d)
0
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