Traffic Data Analysis

This repository analyzes the effectiveness of the Alive@25 program in reducing the number of car accidents for young drivers in South Carolina. It includes various types of analysis such as geospatial analysis, collision data analysis, and more.

Repository Structure

The repository is organized into the following main folders:

• code: Contains the scripts used to run the analysis and visualizations.
• data: Contains the data required for the scripts inside the code folder.
• output: Contains the output HTML (interactive and static) and plots about the analysis done using the scripts in the code folder.

Subfolders

Each main folder is divided into three subfolders:

• Alive-25-analysis: Focuses on analyzing the data related to the Alive@25 program.
• collision-analysis: Focuses on analyzing the collision data.
• map-visualization: Focuses on the map visualization of the data.

Visualization

The interactive traffic visualization stems from 3 files in the project root: index.html, styles.css, and script.js.

Usage

1. Clone the repository:

   git clone https://github.com/ai4society/Traffic-Data-Analysis.git
   cd Traffic-Data-Analysis

2. Prepare the data:

   • Place the required data files in the data folder under the appropriate subfolder.

3. Run the analysis:

   • Navigate to the code folder and execute the scripts as needed.

4. View the output:

   • The results of the analysis will be available in the output folder under the appropriate subfolder.

Collaborators

• Nitin Gupta, Bharath Muppasani, Biplav Srivastava, Lucas Vasconcelos
  • USC College of Engineering and Computing & College of Education
• Emma Kennedy, Karilyn Tremblay, and Kevin Poore:
  • Office of Injury and Violence Prevention within the Department of Health and Environmental Control (DHEC)
• Melissa Reck and Todd Buehrig
  • National Safety Council Southeastern Chapter (NSCSC)
• Ross Hartfield and others
  • Office of Highway Safety and Justice Programs (OHSJP) within the South Carolina Department of Public Safety (SCDPS)
• Saina Srivastava and Aarohi Goel
  • Duke University, BASIS Independent Silicon Valley High School
  • Work done during summer internship at USC.

License

This project is licensed under the MIT License.