AsphaltMine:
The Asphalt Test Result Database for Performance Prediction
AsphaltMine is a platform for collecting asphalt test results in an organized online database and for using this data to train machine learning models to predict asphalt performance.
Update (January 2026): First prediction tool published
Our new paper presents a physics-based machine learning model for predicting asphalt test results, combining a data-driven approach with physical constraints to improve reliability and interpretability.
The main contribution is the methodology itself: a framework that leverages existing experimental data while remaining consistent with known material behavior.
Although we demonstrate the approach using the Marshall test, this choice was driven by data availability, and the methodology is intended to be extended to other performance-based asphalt tests soon.
This is the first paper to come out of the AsphaltMine.org initiative, setting the foundation for future work in data-enabled asphalt materials evaluation, so make sure to check the paper and the try the Marshall prediction tool.
The main contribution is the methodology itself: a framework that leverages existing experimental data while remaining consistent with known material behavior.
Although we demonstrate the approach using the Marshall test, this choice was driven by data availability, and the methodology is intended to be extended to other performance-based asphalt tests soon.
This is the first paper to come out of the AsphaltMine.org initiative, setting the foundation for future work in data-enabled asphalt materials evaluation, so make sure to check the paper and the try the Marshall prediction tool.
Participants
See the growing number of participants who want to take asphalt performance prediction a step further.
Join AsphaltMine
You are very welcomed to join the AsphaltMine community. As a data contributor, you will have access to the prediction tool.
Predict
We are building web-based machine learning tools for predicting asphalt test results. As a data contributor, you will have access to the tools through your account.