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Real-Traffic-Insight--data-science--python

This project aims to analyze and predict road traffic conditions using real GPS and vehicle sensor data. Simulated data structured similarly to the Comma2k19 dataset is utilized to train machine learning models for forecasting speed, acceleration, and steering angle throughout the route.

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This project aims to analyze and predict road traffic conditions using real GPS and vehicle sensor data. Simulated data structured similarly to the Comma2k19 dataset is utilized to train machine learning models for forecasting speed, acceleration, and steering angle throughout the route.

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