Orange County Traffic Optimization (OCTO)

OCTO is a Python-based project aimed at improving traffic flow in major Florida cities through advanced pathfinding algorithms.

Features

• Pathfinding Algorithms: Implements A* and Dijkstra's algorithms for optimal route calculation.
• Map Downloading: Includes functionality to download and process map data.
• Statistical Analysis: Provides tools for traffic data analysis and visualization.

Installation

1. Clone the repository:

   git clone https://github.com/AaronGibson2/OCTO.git

2. Navigate to the project directory:

   cd OCTO

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

• Running the Application:

  python main.py

• Downloading Map Data:

  python downloadMap.py

Project Structure

OCTO/
├── GTFO/
├── __pycache__/
├── cache/
├── data/
├── a_star.py
├── app.py
├── dijkstras.py
├── downloadMap.py
├── main.py
├── requirements.txt
├── statWindow.py

• GTFO/: Contains additional resources.
• cache/: Stores cached data for performance optimization.
• data/: Includes datasets and map information.
• a_star.py: Implementation of the A* pathfinding algorithm.
• app.py: Main application script.
• dijkstras.py: Implementation of Dijkstra's algorithm.
• downloadMap.py: Script for downloading and processing map data.
• main.py: Entry point of the application.
• requirements.txt: List of required Python packages.
• statWindow.py: Module for statistical analysis and visualization.