Collision Mapping and Injury Prediction

This project is the result of a 4 month long student project. It uses a number of strategies and publicly available data to create a comprehensive historical map of collisions in Seattle, as well as predict the severity of hypothetical collisions. The statistical model contained in the project can predict the number of injuries resulting from a collision to within a single injury on average.

To see the results of the project, simply download the entire project, navigate to the `Collision_App` folder and run `app.R`. The app requires the following R libraries:

  • shiny

  • dplyr

  • pscl

  • splines

  • knitr

  • DescTools

  • leaflet

If you would simply like to understand the methodology behind the project, navigate to the methodology link from the data projects page.