Features¶
The brain of OpenTrafficCam.
OTAnalytics is a set of self-developed algorithms to gather traffic measures based on trajectories of road users. It provides a user-friendly graphical interface for configuring analyses, extracting valuable insights from your data, and exporting the results efficiently.
Key features¶
- Configuration of traffic analyses using sections and flows
- Generation of traffic counts and flow matrices
- Export of event lists for detailed analysis
- Visualization of tracks, events, and traffic data
- Various visualization layers and filters
- Runs on Windows, macOS, and Linux
Content of documentation¶
- Requirements: Prerequisites for running OTAnalytics
- Installation: How to install OTAnalytics on different operating systems
- First Use: Quick walkthrough of your first analysis
- Usage GUI: Detailed guide on how to use the graphical user interface
- Usage CLI: Command-line interface reference
Most of the code is developed by the OpenTrafficCam contributors (based on Python libraries like NumPy, pandas, tkinter and PyAV).
Current status
OTAnalytics is actively maintained and developed. The latest version offers a comprehensive set of features for traffic analysis.
It is tested on Windows, macOS, and Linux.
For the latest updates and releases, visit the GitHub repository.