PEDAT - Pedestrian Volume Data Visualization Dashboard

Overview

PEDAT is a Streamlit-based web application designed to visualize pedestrian volume data in Utah. It offers an interactive and user-friendly interface to analyze and understand pedestrian traffic patterns effectively.

Check out the demo video:

Features

• Interactive Data Visualization: Utilizes libraries like Folium, Plotly, and Kepler.gl for dynamic and engaging data presentation.
• Comprehensive Data Analysis: Integrates with Pandas, and Google Cloud BigQuery for efficient data handling, manipulation, and analysis.
• Customizable Views: Offers various visualization options to cater to different analysis needs.
• Customizable Report: Ability to generate detailed reports for selected traffic signals and specific parameters, aiding in targeted analysis and decision-making.

Installation

Requirements

• Python 3.6 or higher
• Required Python libraries:
  • Streamlit >= 1.13.0
  • Folium >= 0.13, <0.15
  • Pandas, Plotly, Pydeck, DateTime, Matplotlib, NumPy
  • Google Cloud BigQuery, Google Auth
  • Other dependencies as listed in requirements.txt

Steps

1. Clone the repository:

   git clone https://github.com/pozapas/PEDAT.git

   cd PEDAT

2. Install dependencies:

   pip install -r requirements.txt

3. Run the Streamlit app:

   streamlit run dash_beta.py

   Manuals and Guides

   In the manual folder of the repository, you will find detailed guides to help you get started and make the most out of PEDAT:

   • PEDAT User Guide: A comprehensive guide to using the PEDAT app, detailing all features and functionalities.
   • How to Dockerize PEDAT App: Instructions on how to dockerize the PEDAT application for easy deployment and scalability.
   • How to Install PEDAT App from Docker Hub: Step-by-step guide for installing the PEDAT app using the Docker image from Docker Hub.

Docker Support

PEDAT is also available as a Docker image. To use it:

1. Pull the Docker image from Docker Hub:

   docker pull pozapas/pedat

2. Run the Docker container:

   docker run -p 8501:8501 pozapas/pedat

Contributing

Contributions to PEDAT are welcome. Please read our guidelines and submit your pull requests or issues through GitHub.

License

MIT License