DynamicalSystemFramework
The aim of this project is to rework the original Traffic Flow Dynamics Model. This rework consists of a full code rewriting, in order to implement more features (like intersections) and get advantage from the latest C++ updates.
Table of Contents
- Installation
- Installation (from source)
- Examples
- Visualization & GUI
- Projects Using DSF
- For Developers
- Citing
- Bibliography
Installation
The library is available on PyPI:
pip install dsf-suite
To check the installation you can simply run:
import dsf
print(dsf.__version__)
Installation (from source)
Requirements
The project requires C++20 or greater, cmake, tbb, simdjson, spdlog, csv-parser, and SQLiteCpp.
To install requirements on Ubuntu:
sudo apt install cmake libtbb-dev
To install requirements on macOS:
brew install cmake tbb
Installation (C++)
The library can be installed using CMake. To build and install the project in the default folder run:
cmake -B build -DCMAKE_BUILD_TYPE=Release && cmake --build build -j$(nproc)
sudo cmake --install build
Otherwise, it is possible to customize the installation path:
cmake -B build -DCMAKE_INSTALL_PREFIX=/path/to/install
then building and installing it with:
cmake --build build
cmake --install build
Installation (Python)
If you want to use the library from Python, you can build the Python bindings using nanobind. Make sure you have tbb installed:
sudo apt install libtbb-dev
Then, the installation is automatic via uv:
uv build
or via standard pip:
pip install .
After installation, verify the import in Python:
import dsf
print(dsf.__version__)
If you encounter issues, ensure that the installation path is in your PYTHONPATH environment variable.
Examples
Examples in this repository are being migrated. You can build legacy C++ examples by passing -DDSF_EXAMPLES=ON to CMake; output binaries will be generated under the examples/ directory.
Updated and active examples are maintained in dsf-examples.
Visualization & GUI
For real-time dynamic visualization and visual inspection of network flows, see dsf-gui. It offers an interactive front-end designed specifically for monitoring simulations, analyzing queue dynamics, and visual debugging.
Projects Using DSF
- bdt-mobility — Bologna Digital Twin Mobility Toolkit: Data extraction pipeline and policy-impact traffic simulation framework built for defined Zones of Interest (ZOI).
For Developers
This project includes a pre-commit hook setup.
To enable it locally, run:
pip install pre-commit
pre-commit install
Testing
This project uses Doctest for unit testing.
Tests are built automatically in Debug or Coverage mode. To manually force test compilation:
cmake -B build -DDSF_TESTS=ON
cmake --build build -j$(nproc)
To execute the test suite:
ctest --test-dir build -j$(nproc) --output-on-failure
Benchmarking
Core performance critical components are benchmarked using Google Benchmark.
To build benchmark targets:
cmake -B build -DDSF_BENCHMARKS=ON
cmake --build build -j$(nproc)
To run all benchmark executables:
cd benchmark
for f in ./*.out ; do ./$f ; done
Citing
If you use this software, please cite it using the metadata in CITATION.cff (GitHub's "Cite this repository" button exports it as BibTeX/APA), or via Zenodo DOI: 10.5281/zenodo.18745492.
Bibliography
- Mungai, Veronica (2024) Studio dell'ottimizzazione di una rete semaforica. University of Bologna, Bachelor's Degree in Physics [L-DM270]. Link to Thesis.
- Berselli, Gregorio (2024) Advanced queuing traffic model for accurate congestion forecasting and management. University of Bologna, Master's Degree in Physics [LM-DM270]. Link to Thesis.
- Berselli, Gregorio (2022) Modelli di traffico per la formazione della congestione su una rete stradale. University of Bologna, Bachelor's Degree in Physics [L-DM270]. Link to Thesis.
1 maintainer
Metadata
1 maintainer
Release files for dsf-suite 7.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| dsf_suite-7.4.0.tar.gz | 191.3 kB | Without provenance | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| dsf_suite-7.4.0-cp314-cp314-win_amd64.whl | CPython 3.14 | CPython 3.14 | Windows x86-64 | Details |
| dsf_suite-7.4.0-cp314-cp314-manylinux_2_28_x86_64.whl | CPython 3.14 | CPython 3.14 | Linux glibc 2.28+ x86-64 | Details |
| dsf_suite-7.4.0-cp314-cp314-macosx_26_0_arm64.whl | CPython 3.14 | CPython 3.14 | macOS 26.0+ ARM64 | Details |
| dsf_suite-7.4.0-cp313-cp313-win_amd64.whl | CPython 3.13 | CPython 3.13 | Windows x86-64 | Details |
| dsf_suite-7.4.0-cp313-cp313-manylinux_2_28_x86_64.whl | CPython 3.13 | CPython 3.13 | Linux glibc 2.28+ x86-64 | Details |
| dsf_suite-7.4.0-cp313-cp313-macosx_26_0_arm64.whl | CPython 3.13 | CPython 3.13 | macOS 26.0+ ARM64 | Details |
| dsf_suite-7.4.0-cp312-cp312-win_amd64.whl | CPython 3.12 | CPython 3.12 | Windows x86-64 | Details |
| dsf_suite-7.4.0-cp312-cp312-manylinux_2_28_x86_64.whl | CPython 3.12 | CPython 3.12 | Linux glibc 2.28+ x86-64 | Details |
| dsf_suite-7.4.0-cp312-cp312-macosx_26_0_arm64.whl | CPython 3.12 | CPython 3.12 | macOS 26.0+ ARM64 | Details |
Total release size: 17.0 MB
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