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Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
MIT License
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Traffic Flow Prediction using Time Series Forecasting #771

Open ShaikArshidBanu opened 3 weeks ago

ShaikArshidBanu commented 3 weeks ago

Description:

Predicting future traffic flow, which will aid in traffic management and planning. The goal is to build a model that can accurately forecast traffic flow based on historical data and other influencing factors. This will help in reducing congestion, optimizing traffic light timings, and improving overall traffic management.

Implementing and comparing different time series forecasting models:

-ARIMA (AutoRegressive Integrated Moving Average): Suitable for capturing linear temporal dependencies. -LSTM (Long Short-Term Memory) networks: Effective for capturing long-term dependencies and non-linear patterns. -GRU (Gated Recurrent Unit) networks: Similar to LSTMs but with a simplified architecture.

Expected Outcomes:

-A robust and accurate traffic flow prediction model. -Improved traffic management and planning capabilities. -Reduced traffic congestion and optimized traffic light timings.

@Niketkumardheeryan I am GSSOC'24 contributor & would love to work on this issue, can you please assign this issue to me.

github-actions[bot] commented 3 weeks ago

Thanks for creating the issue,Please read the Pinned issued first and Readme.md in each Pull Request you made. Keep learning...