ramtiin/Traffic-forecasting-using-different-methods
Time series prediction using deep learning
This project helps urban planners, transportation engineers, and city managers predict future traffic conditions at multiple road intersections. It takes historical traffic data and provides forecasts for one or three steps ahead, which could represent short-term predictions like the next hour or a few hours.
No commits in the last 6 months.
Use this if you need to anticipate traffic patterns at specific crossroads to optimize signal timing, manage congestion, or plan for future infrastructure needs.
Not ideal if you need real-time, instantaneous traffic predictions for individual vehicles or highly dynamic, event-driven traffic flows.
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11
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3
Language
Jupyter Notebook
License
MIT
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Last pushed
Sep 16, 2021
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