OTAnalytics

OTAnalytics is a core module of the OpenTrafficCam framework designed to perform traffic analysis on trajectories of road users tracked by OTVision or other tools in videos recorded by OTCamera or other camera systems.

Overview

OTAnalytics provides tools for analyzing traffic data, including:

• Processing trajectory data of road users
• Defining and analyzing traffic flows
• Counting vehicles/road users assigned to flows
• Generating event lists and statistics
• Visualizing traffic data

The application offers multiple user interfaces:

• A graphical desktop interface (using CustomTkinter)
• A command-line interface for automation and batch processing

Installation

Requirements

• Python 3.12 or higher
• Dependencies listed in requirements.txt

Installation from GitHub Releases (Recommended)

The easiest way to install OTAnalytics is to download the latest release from the GitHub Releases page.

1. Go to the OTAnalytics Releases page
2. Download the latest release for your operating system
3. Extract the downloaded archive
4. Run the application using the instructions in the Usage section

Installation from Source (Linux/macOS)

If you prefer to install from source:

1. Clone the repository:

   git clone https://github.com/OpenTrafficCam/OTAnalytics.git
   cd OTAnalytics

2. Run the installation script:

   ./install.sh

Installation from Source (Windows)

If you prefer to install from source:

1. Clone the repository:

   git clone https://github.com/OpenTrafficCam/OTAnalytics.git
   cd OTAnalytics

2. Run the installation script:

   install.cmd

Usage

Starting the Application

Desktop GUI (Default)

On Linux/macOS:

./start_gui.sh

On Windows:

start_gui.cmd

Command Line Interface

On Linux/macOS:

./start_gui.sh --cli

On Windows:

start_gui.cmd --cli

Configuration

OTAnalytics can be configured using:

1. Command-line arguments
2. Configuration files (YAML format)

Example configuration options:

• Specify track files for analysis
• Define flow and section configurations using otflow files
• Configure export formats and counting intervals
• Control parallelization with multiple processes
• Include or exclude specific road user classes

Features

• Track Analysis: Process and analyze trajectory data from various sources
• Flow Definition: Define and analyze traffic flows between sections
• Counting: Count road users assgined to flows with configurable time intervals
• Event Detection: Generate event lists when road users cross defined sections
• Visualization: Visualize tracks, flows, and sections
• Export: Export analysis results in various formats
• Filtering: Filter tracks by road user class and time
• Parallelization: Process data using multiple CPU cores

Documentation

For detailed instructions on how to install and use OTAnalytics, please refer to the official documentation.

• Installation Guide
• User Interface Guide

Contributing

We appreciate your support in the form of both code and comments. Please have a look at the contribute section of the OpenTrafficCam documentation for guidelines on how to contribute to this project.

License

This software is licensed under the GPL-3.0 License

Contact

• GitHub: https://github.com/OpenTrafficCam
• Email: team@opentrafficcam.org