Improve road safety by analyzing traffic patterns with no-code ML using Amazon SageMaker Canvas
Public Sector Blog
This blog post demonstrates how transportation agencies can use Amazon SageMaker Canvas, a no-code machine learning solution, to analyze traffic patterns and predict accident severity. The insights generated can help improve road safety by formulating preventive strategies.
Specifically, the article covers:
- Prerequisites for using the solution
- Importing a traffic accident dataset into SageMaker Canvas
- Performing exploratory data analysis and feature engineering
- Training and evaluating a machine learning model to predict accident severity
- Running predictions using the trained model
- Visualizing insights from the model using Amazon QuickSight
- Conclusion on the benefits of using no-code ML for road safety analysis
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