Path4GMNS Roadmap 2023

Automation

• Use GitHub Actions to automatically conduct tests across platforms (x86_64: Windows, Linux, macOS; arm64: macOS) and package publishing to PyPI.

Code Optimization and Performance Enhancement

• Optimize the C++ path engine.

Data

• Prepare a clear sample data set

Documentation

• Remove the legacy way of loading demand and zone info in use cases to be consistent with the tutorial.

New Functionalities

• Simulation module.
• Load and convert networks of the TNTP format to networks complying with GMNS.
• Output trajectories following the format of Kepler trip layer.
• Queueing-based volume delay function as an alternative to the classic BPR function.