Skip to content
#

driver-allocation

Star

Here is 1 public repository matching this topic...

Nkonzenhle5 / uber-driver-allocation

Star 0

This project uses Data Science and Operations Research to predict ride demand and allocate drivers efficiently. A simple linear model is compared with an improved Random Forest model. The predictions guide how limited drivers are distributed across hours to match demand patterns.

python data-science machine-learning random-forest optimization scikit-learn regression pandas operations-research ride-hailing driver-allocation
  • Updated Jun 24, 2026
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the driver-allocation topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the driver-allocation topic, visit your repo's landing page and select "manage topics."

Learn more