traffic-flow-prediction

Develop a deep learning model capable of predicting traffic flow in urban environments. The model will utilize historical traffic data, weather conditions, and road configurations to forecast traffic patterns. This information can be invaluable for traffic management systems, helping to optimize traffic signals and reduce congestion, ultimately.

deployment

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22 Stars

3 Forks

22 Watchers

Python Language

mit License

100 SrcLog Score

Cost to Build

$154.5K

Market Value

$208.7K

How is this calculated?

Growth over time

3 data points · 2026-04-10 → 2026-04-24

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What is the karimosman89/traffic-flow-prediction GitHub project? Description: "Develop a deep learning model capable of predicting traffic flow in urban environments. The model will utilize historical traffic data, weather conditions, and road configurations to forecast traffic patterns. This information can be invaluable for traffic management systems, helping to optimize traffic signals and reduce congestion, ultimately.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/karimosman89/traffic-flow-prediction.git

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