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Path4GMNS Roadmap 2023
Peiheng Li edited this page Mar 13, 2023
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- Use GitHub Actions to automatically conduct tests across platforms (x86_64: Windows, Linux, macOS; arm64: macOS) and package publishing to PyPI.
- Optimize the C++ path engine.
- Conduct code optimization per openDTA
- Prepare a clean sample data set with consistent length and speed units for link.csv
- Remove the legacy way of loading demand and zone info in use cases to be consistent with the tutorial.
- 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.
- Incorporate computation graph (CG) into the column generation module.
- Remove legacy naming.