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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Improve road safety by analyzing traffic patterns with no-code ML using Amazon SageMaker Canvas

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